I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Strong Compute
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: Machine Learning Compute Efficiency Lead, Infrastructure & Planning
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-04-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200659537/machine-learning-compute-efficiency-lead-infrastructure-planning?team=MLAI
EXCERPT: Machine Learning Compute Efficiency Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users. - Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving. - Collaborate closely with Apple Intelligence and ML
---
TITLE: Compute Specialist - SLED (State Local and Education)
EMPLOYER: Hewlett Packard Enterprise
LOCATION: All, Illinois, United States of America (remote)
SALARY: Not disclosed
POSTED: 2026-06-02
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-Illinois-United-States-of-America/Compute-Specialist---SLED--State-Local-and-Education-_1203671-3/apply
EXCERPT: Compute Specialist - SLED (State Local and Education) All, Illinois, United States of America Embrace the opportunity to become a Compute Specialist and drive sales of advanced SLED solutions for federal clients. Leverage your expertise in solution selling, account management, and IT to build strong client relationships and exceed quotas. Shape the future of enterprise IT with Hewlett Packard Enterprise in a dynamic, remote-friendly environment.
---
TITLE: Compute Sales Specialist - VA / DC
EMPLOYER: Hewlett Packard Enterprise
LOCATION: All, Virginia, United States of America (remote)
SALARY: Not disclosed
POSTED: 2026-03-16
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-Virginia-United-States-of-America/Compute-Sales-Specialist---VA---DC_1204457-2/apply
EXCERPT: Compute Sales Specialist - VA / DC All, Virginia, United States of America Embrace the role of a Compute Sales Specialist and drive growth by leading sales of advanced technology solutions. Leverage your expertise in solution selling, project management, and account planning to build strong client relationships and exceed quotas. Enjoy a flexible, remote work environment with opportunities for professional development and impactful contributions.
---
TITLE: Software Engineer, Compute Infrastructure
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States, New York City, Seattle, London, UK (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-27
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/ca300a6d-a2a7-4580-aad7-323fbdfee7b1
EXCERPT: Software Engineer, Compute Infrastructure San Francisco, California, United States, New York City, Seattle, London, UK About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may be strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS
---
TITLE: Compute Sales Specialist - Stamford, CT
EMPLOYER: Hewlett Packard Enterprise
LOCATION: Stamford, Connecticut, United States of America (remote)
SALARY: Not disclosed
POSTED: 2026-03-17
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Stamford-Connecticut/Compute-Sales-Specialist---Stamford--CT_1204463-2/apply
EXCERPT: Compute Sales Specialist - Stamford, CT Stamford, Connecticut, United States of America Embrace the role of a Compute Sales Specialist and drive growth by leading sales initiatives, managing complex accounts, and leveraging your expertise in software solutions. Collaborate with cross-functional teams, build strong client relationships, and shape the future of IT sales in a dynamic, remote-friendly environment. Grow your career with a global industry leader.
---
TITLE: Compute Sales Specialist
EMPLOYER: Hewlett Packard Enterprise
LOCATION: Taguig City, National Capital Region (Manila), Philippines (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
K401_MATCH: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Taguig-City-National-Capital-Region-Manila-Philippines/Compute-Sales-Specialist_1199113-2/apply
EXCERPT: Compute Sales Specialist Taguig City, National Capital Region (Manila), Philippines Embrace the role of a Compute Sales Specialist and drive growth by leveraging your expertise in specialty sales and solution selling. Collaborate with IT professionals, manage client relationships, and help shape innovative IT solutions. If you excel at prospecting, negotiation, and building strong client partnerships, this is your opportunity to make an impact.
---
TITLE: Compute Server Platform Architect
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7635821003
EXCERPT: Compute Server Platform Architect Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will
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TITLE: Principal Member of Technical Staff
EMPLOYER: Oracle
LOCATION: BENGALURU, KARNATAKA, India, IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/334298/
EXCERPT: Principal Member of Technical Staff BENGALURU, KARNATAKA, India, IN OCI Compute is looking for strong Senior Software Developers with a strong cloud/distributed systems/microservices background to take on the challenge of engineering Compute Infrastructure solutions and build services for Large Scale Compute and performance while providing strong guarantees of availability to our customers. Your team will have diverse expertise in systems, compute, networking and software development to provide the stability, performance, and reliability that our customers need. OCI has taken the lead in becoming the premiere Cloud Provider of next gen computing, and this is your opportunity to play a role in the Compute industry movement. Design and develop compute software in Java and other languages. Apply engineering principles for defining robust and maintainable architectures and designs. Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI Design, lead and build distributed, scalable, fault tolerant software systems Participate in the entire software lifecycle - development, testing, CI/CD and production operations Collaborate broadly across multiple disciplines from designers to developers. Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture. Balance between product feature development, troubleshooting and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call. Career Level - IC4
---
TITLE: System Modeling (Computation)
EMPLOYER: Unconventional AI
LOCATION: Palo Alto, CA I US Remote (remote)
SALARY: Not disclosed
POSTED: 2026-04-01
K401_MATCH: yes (not source-backed)
APPLY_URL: https://unconv.ai/careers/?gh_jid=4205950009
EXCERPT: System Modeling (Computation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Computation), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that
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TITLE: Lead Full Stack Machine Learning Engineer
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7767933003
EXCERPT: Lead Full Stack Machine Learning Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About T he Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities - Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. -
---
TITLE: Senior Security Engineer
EMPLOYER: Quantum Circuits
LOCATION: New Haven, CT (unspecified)
SALARY: Not disclosed
POSTED: 2024-11-05
APPLY_URL: https://jobs.lever.co/quantumcircuits/b07692ce-b447-4f14-a68c-f6b6b56cc097
EXCERPT: Senior Security Engineer New Haven, CT At Quantum Circuits Inc., we are building the world's first truly algorithmic quantum computers to achieve transformational computing capabilities. Our full-stack quantum computing platform uses superconducting devices along with a modular, robust, and scalable architecture. Our unique approach is based on a decade of technology research and breakthroughs at Yale University's world-renowned quantum labs. We are seeking a highly skilled and self-motivated Senior Security Engineer to join our dynamic team. The ideal candidate has a strong background in evaluating and mitigating security vulnerabilities across on-premises and AWS environments and will be hands-on in assessing, designing, implementing, and maintaining a robust security posture for all systems. This ensures QCI's infrastructure is secure, resilient, and capable of supporting our cutting-edge quantum computing platform. At Quantum Circuits Inc., we are building the world's first truly algorithmic quantum computers to achieve transformational computing capabilities. Our full-stack quantum computing platform uses superconducting devices along with a modular, robust, and scalable architecture. Our unique approach is based on a decade of technology research and breakthroughs at Yale University's world-renowned quantum labs. We are seeking a highly skilled and self-motivated Senior Security Engineer to join our dynamic team. The ideal candidate has a strong background in evaluating and mitigating security vulnerabilities across on-premises and AWS environments and will be hands-on in assessing, designing, implementing, and maintaining a robust security posture for all systems. This ensures QCI's infrastructure is secure, resilient, and capable of supporting our cutting-edge quantum computing platform. Key Responsibilities:
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TITLE: Advanced Technology: Compiler Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7683606003
EXCERPT: Advanced Technology: Compiler Engineer Sunnyvale, CA; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS ) and
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TITLE: Quantum Solutions Scientist
EMPLOYER: QuEra Computing
LOCATION: Tsukuba, Japan (unspecified)
SALARY: Not disclosed
POSTED: 2025-04-28
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4663003008
EXCERPT: Quantum Solutions Scientist Tsukuba, Japan Summary QuEra Computing is seeking a qualified candidate to help develop algorithms and applications in collaboration with external customers, collaborators, and users. With an outcome-oriented mindset, you will work on projects ranging from machine learning, operations research, data science, chemistry, and more. Working individually and as part of a team, you will interact with clients, business partners, collaborators, and other users of quantum computers to implement algorithms, develop use-cases, and create business solutions that leverage near and intermediate-term neutral atom quantum computers. QuEra Computing is the leader in neutral atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the cutting edge of quantum computing development. Your contributions and ideas will help steer QuEra and the entire field to practical quantum utility. Qualifications - MSc or a Ph.D. degree in applied mathematics, computer science, physics, or a related discipline, or equivalent professional experience - Expert knowledge of at least one of the fields of quantum machine learning, quantum optimization, quantum chemistry, or quantum information science - Strong knowledge of the fundamentals of quantum computing and algorithmic primitives - Strong written and verbal communication skills - Ability to collaborate effectively across multidisciplinary teams - Proficiency in Python - Strong written and verbal communications skills in both English and Japanese Preferred Qualifications - Expertise in an industry vertical such as logistics, finance, operations research, chemistry, biotech, engineering, machine learning, or other related field - Experience
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TITLE: Senior Quantum Scientist - Quantum + AI
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $146K-$228K
POSTED: 2025-06-17
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4771666008
EXCERPT: Senior Quantum Scientist - Quantum + AI Boston, MA, USA Summary QuEra is seeking a talented AI scientist to explore the intersection of quantum computing and AI. This includes topics in "quantum for AI", such as development of quantum machine learning algorithms for generative tasks, integration of quantum computers into AI workflows, and augmentation of classical training with quantum methods. This may also include topics in "AI for quantum", such as AI compilation techniques for hardware execution, machine characterization and inference, decoding, and related topics. A strong candidate is expected to have deep hands-on experience with contemporary classical AI workflows, such as the large language models (LLMs), a strong understanding of the underlying theory of modern AI, and an understanding of quantum computing and quantum information theory. As part of your role, you will spearhead efforts at QuEra to develop the next generation of quantum and AI algorithms guided by your experience with classical AI approaches. The role will include both cutting-edge research, as well as development and deployment of algorithms on the next generation of neutral-atom hardware. QuEra Computing is the leader in neutral-atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the forefront of integrating quantum algorithms with practical AI-driven toolchains, driving innovation across simulation, optimization, and quantum machine learning domains. Qualifications - PhD in math, computer science, quantum physics, or equivalent professional experience - Strong hands-on expertise with modern AI/ML methods, such as deep
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TITLE: Quantum Scientist - Machine Learning and Quantum Error Correction
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $130K-$212K
POSTED: 2026-01-18
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5075843008
EXCERPT: Quantum Scientist - Machine Learning and Quantum Error Correction Boston, MA, USA Summary QuEra Computing is seeking a talented, impact-motivated researcher with strong expertise in quantum error correction and decoding. You will be part of the team to develop and implement quantum error correction protocols and decoding algorithms on our unique hardware, with a particular focus on the use of machine learning methods for decoding and QEC design. You will have the opportunity to work with a vibrant community of academic and industry collaborators, and to help our growing team of diverse experts address fascinating challenges, from the development of hardware-efficient error correction schemes and decoding algorithms for our unique Rydberg atom quantum computer, to the design of protocols for executing fault-tolerant quantum logic, and finally to the implementation of fault-tolerant quantum algorithms with these methods. Required Qualifications - PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience - Experience in machine learning for scientific problems - Experience in quantum computing and quantum error correction - An exceptional publication record in relevant fields - Strong written and verbal communication skills - Strong software skills Preferred Qualifications - Experience simulating error correction protocols - Experience collaborating with experimental teams and/or implementing error correction protocols on hardware - Experience with high-performance software development and real-time operations The approximate base salary range for this position is $130,400 - $211,900. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as
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TITLE: Quantum Scientist - Quantum Error Correction and Decoding
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $130K-$212K
POSTED: 2024-10-17
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4180052008
EXCERPT: Quantum Scientist - Quantum Error Correction and Decoding Boston, MA, USA Summary QuEra Computing is seeking talented, impact-motivated researchers with strong expertise in quantum error correction and decoding. You will be part of the team to develop and implement quantum error correction protocols and decoding algorithms on our unique hardware. You will have the opportunity to work with a vibrant community of academic and industry collaborators, and to help our growing team of diverse experts address fascinating challenges, from the development of hardware-efficient error correction schemes and decoding algorithms for our unique Rydberg atom quantum computer, to the design of protocols for executing fault-tolerant quantum logic, and finally to the implementation of fault-tolerant quantum algorithms with these methods. Qualifications - PhD in Quantum Computing, Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience - Strong background in quantum computing and quantum error correction - An exceptional publication record in relevant fields - Strong written and verbal communication skills - Strong software skills Preferred Qualifications - Experience implementing high-performance decoders, including both software and hardware implementations - Experience simulating error correction protocols - Experience collaborating with experimental teams and/or implementing error correction protocols on hardware - Experience with high-performance software development and real-time operations - Experience with machine learning methods The approximate base salary range for this position is $130,400 - $211,900. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.
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TITLE: Engineering Manager, Kernel Reliability
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7582897003
EXCERPT: Engineering Manager, Kernel Reliability Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role We're looking for a deeply technical, hands-on engineering leader for our on-field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings. If you have proven expertise in software
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TITLE: Internship - Photonics Design
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5239467008
EXCERPT: Internship - Photonics Design Boston, MA, USA About QuEra Computing, Inc. QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance. Summary The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonic Engineer Intern to help build the AI-driven design pipelines that will accelerate next-generation PIC development. You will explore state-of-the-art optimization workflows, directly improving how quickly our engineers can iterate and tape out novel photonic components for large-scale neutral-atom quantum computers. Responsibilities - AI-Powered Photonics Design: Explore and build AI-driven photonics design and optimization pipelines to accelerate the component design. - Design for Manufacturing: Incorporate Design of Experiments (DoE) and Design for Manufacturing (DfM) principles into PIC design to improve yield and process robustness across multiple foundries. - Cross-functional Collaboration: Partner with photonics engineers and systems teams to align PIC designs with the requirements of neutral-atom quantum computer integration. Qualifications - Pursuing or recently completed a degree in computer science, physics, mathematics, or a related field. - Strong programming skills in using Python and AI tools. - Proficient with PIC development tools and advanced optimization algorithms for PIC design. - Strong understanding of PIC fundamental physics and foundry processes. - Experience incorporating Design of Experiments (DoE) and Design for Manufacturing (DfM) into
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TITLE: Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai
EMPLOYER: Cerebras Systems
LOCATION: Europe; Remote, California, United States; UAE (remote)
SALARY: Not disclosed
POSTED: 2025-10-31
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7513711003
EXCERPT: Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai Europe; Remote, California, United States; UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount
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TITLE: Postdoctoral Fellow - Computational Biology & Medicine - Jhunjhunwala Lab
EMPLOYER: Genentech, Inc.
LOCATION: South San Francisco, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Postdoctoral-Fellow---Computational-Biology---Medicine---Jhunjhunwala-Lab_202602-104753/apply
EXCERPT: Postdoctoral Fellow - Computational Biology & Medicine - Jhunjhunwala Lab South San Francisco, California, United States of America This position offers a unique opportunity to be jointly mentored by experts in our Computational Biology and Medicine department and our Oncology Research organization. Strong experience in applicatio...
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TITLE: Principal Engineer, AI Inference Reliability
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States; Sunnyvale CA or Toronto Canada (remote)
SALARY: Not disclosed
POSTED: 2025-10-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7511484003
EXCERPT: Principal Engineer, AI Inference Reliability Remote, California, United States; Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. In late 2024, we launched Cerebras Inference, the fastest Generative AI inference service in the world, over 10 times faster than GPU-based hyperscale cloud inference. Since launch, we've scaled to meet the surging demand from AI labs, enterprises, and a thriving developer community. In October 2025, we announced our series G funding, raising $1.1 billion USD to accelerate the expansion of our products and services to meet global AI demand. About the team The Cerebras Inference team's mission
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TITLE: Software Engineer, Kernel Reliability
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647330003
EXCERPT: Software Engineer, Kernel Reliability Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We're looking for a deeply technical, hands-on software engineer to join our on-field Kernel Reliability team. You'll help tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll work close to the code and design solutions that will scale with our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis-and enjoy building tools and solving
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TITLE: ML Systems Performance Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7599454003
EXCERPT: ML Systems Performance Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate
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TITLE: ASIC Architect
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7753254003
EXCERPT: ASIC Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across
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TITLE: ML Performance Benchmarking Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7669166003
EXCERPT: ML Performance Benchmarking Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world's fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack-from model compilation and scheduling down to custom hardware kernels and driver development. The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most
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TITLE: Senior Runtime Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7510635003
EXCERPT: Senior Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help
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TITLE: Internship - Research & Development
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5227710008
EXCERPT: Internship - Research & Development Boston, MA, USA Summary The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms. Responsibilities - Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s). - Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers. - Investigate sources of noise and decoherence and contribute to proposed mitigation strategies. - Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems. - Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications. Qualifications - Pursuing a degree in physics, computer science, mathematics, or a related field. - Strong physics background and experience in optics. - Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do
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TITLE: Computer System Validation Internship
EMPLOYER: Roche Holding AG
LOCATION: Singapore, Central Singapore, Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-22
APPLY_URL: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Central-Singapore/Computer-System-Validation-Internship_202505-111473/apply
EXCERPT: Computer System Validation Internship Singapore, Central Singapore, Singapore We are looking for a Computer System Validation Intern to join our team at Roche. This role involves supporting validation activities for ITOT products, collaborating with cross-functional teams, and adhering to quality standards in a dynamic environment. If you are self-driven and possess strong communication skills, we want to hear from you!
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TITLE: Staff Inference ML Runtime Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7523546003
EXCERPT: Staff Inference ML Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Inference ML Engineering team at Cerebras Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact
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TITLE: Member of Technical Staff, Research
EMPLOYER: Abundant
LOCATION: San Francisco | Hybrid | Remote (hybrid)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/abundant/433ba781-e5b3-4720-b3b7-cb364fbc104b
EXCERPT: Member of Technical Staff, Research San Francisco | Hybrid | Remote ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience. What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already
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TITLE: Software Development Manager, EC2 Core Consoles
EMPLOYER: Amazon
LOCATION: Arlington, Virginia, USA (unspecified)
SALARY: $185K-$250K
POSTED: 2025-12-15
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3143284/software-development-manager-ec2-core-consoles
EXCERPT: Software Development Manager, EC2 Core Consoles Arlington, Virginia, USA The Amazon EC2 team is seeking a very strong technical leader to manage and grow an engineering team that focuses on building the web applications that enable customers to launch and manage Amazon Elastic Cloud Compute (EC2) instances and other AWS resources. This requires a thorough knowledge of what it takes to develop scalable, extensible technology, as well as how to structure and develop engineering organizations. Amazon Web Services (AWS) provides Amazon's customers with access to in-the-cloud infrastructure services based on Amazon's own back-end technology platform, which developers can use to enable virtually any type of business. Amazon EC2 is the web service that is pioneering cloud computing by providing resizable compute capacity in the cloud. It gives any developer complete control of their computing resources and lets them run on Amazon's proven computing environment. We are continuing to build the team in order to expand on our feature set and manage our rapidly increasing scale. We are expanding our capacity management initiatives to support high growth at large scales and create novel markets to support the computing needs of our customers. The ideal candidate is passionate about the large opportunity that Amazon EC2 presents and is eager for a significant intellectual, technical and operational challenge. This person has thrived and succeeded in delivering high quality solutions in a fast-growth environment where priorities shift fast. The position demands excellent technical skills and knowledge coupled with strong leadership, planning, and management abilities.
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TITLE: LLM Inference Performance & Evals Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-07-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6658665003
EXCERPT: LLM Inference Performance & Evals Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime,
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TITLE: Computer Vision Software Engineer, Camera & Photos
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-02-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200646968/computer-vision-software-engineer-camera-photos?team=MLAI
EXCERPT: Computer Vision Software Engineer, Camera & Photos Cupertino, United States of America iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an engineer on our team you'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work, too! Prototype and develop algorithms for new and improved camera features Work cross-functionally with our partners to ensure best in-class performance Develop methods to analyze and improve results Implement and assess algorithm implementation Minimum Qualifications: Strong background in computational photography. Knowledge and experience using Computer Vision to solve real-world problems. Experience with camera pipeline. Excellent coding skills in C or C++. Strong verbal and written communication skills. MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering Preferred Qualifications: Familiarity with multiple-camera systems and 3D geometry. Experience with Machine Learning
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TITLE: Business Operations Lead, Datacenters
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7763752003
EXCERPT: Business Operations Lead, Datacenters Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This is a high-leverage business operations role embedded in the Datacenter organization. You will partner directly with 5-10 senior leaders to build the operating system that keeps the organization aligned, decision-ready, and executing at speed. The job sits at the intersection of planning, operating cadence, communications, and execution. You will turn complex, fast-moving work into clear priorities, durable mechanisms, and actionable insight. This is not a staff role from the sidelines-you will be in the middle of the work, helping leaders drive performance,
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TITLE: Security SWE
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647319003
EXCERPT: Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers
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TITLE: Senior Quantum Scientist — Quantum Algorithms
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $146K-$228K
POSTED: 2025-06-18
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4772957008
EXCERPT: Senior Quantum Scientist — Quantum Algorithms Boston, MA, USA Summary QuEra is seeking a deeply technical and theoretically grounded algorithms researcher to help advance the frontier of quantum computing. This role focuses on developing novel algorithms and quantum computational techniques inspired by and tailored to the capabilities of neutral-atom quantum devices. A strong candidate will bring deep expertise in quantum algorithm design and quantum information theory. As part of your role, you will lead research efforts that explore the boundaries of quantum advantage, investigate computational hardness and resource tradeoffs, and prototype algorithms that could run on QuEra's hardware. You will also collaborate closely with hardware and software teams to guide the co-design of algorithms and architectures, and shape the roadmap for algorithmic utility on neutral-atom systems. Key Responsibilities - Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory. - Design and analyze new quantum algorithms with demonstrable computational advantage. - Explore and classify algorithmic primitives aligned with neutral-atom capabilities. - Collaborate with the applications team to optimize performance under realistic architectural constraints. - Evaluate the landscape of quantum algorithm benchmarks and influence the development path for practical quantum utility on QuEra's platform. Qualifications - PhD in Computer Science, Physics, Mathematics, or a related discipline with specialization in quantum computing. - Strong research record in quantum algorithms or quantum information theory, as evidenced by top-tier publications or equivalent contributions. - Familiarity with core quantum algorithmic techniques (e.g., amplitude amplification, phase estimation, Hamiltonian simulation, and quantum arithmetic primitives).
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TITLE: Head of Data Center Acquisition
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728938003
EXCERPT: Head of Data Center Acquisition Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Why now Demand for Cerebras inference is high and climbing. We need ever-more power-ready data center capacity to meet demand for the world's fastest inference solution. Project facts often change as providers work through power, site, capital, design, security, and schedule issues. This work shapes customer delivery, capital use, and risk for years. The job demands a hands-on deal leader who can separate real capacity from optimistic claims and keep priority transactions on track. Role at a glance - Own the data center capacity pipeline
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TITLE: Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
EMPLOYER: QuEra Computing
LOCATION: Boston, MA USA (unspecified)
SALARY: $110K-$120K
POSTED: 2026-02-26
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5135036008
EXCERPT: Postdoctoral Fellow - Applied Machine Learning in Quantum Systems Boston, MA USA Summary This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting both near-term experimental performance and the long-term development of control architectures for stable, fault-tolerant computing. The successful candidate will design and prototype state-of-the-art methods to enable reliable quantum operations and translate device measurements into actionable control feedback. Responsibilities include advancing capabilities such as measurement-informed feedback control and machine learning-driven inference. Key Responsibilities - Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction. - Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state. - Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance Required Qualifications - Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics. - Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar). - Demonstrated experience working with Machine Learning for inference and hardware in loop. - Strong programming skills in Python, C++, or similar languages. - Strong analytical and problem-solving skills, with the ability to take technical ownership. - Effective communication skills and the ability to collaborate across physics, engineering, and software teams. - Proficiency with Git and modern collaborative development
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TITLE: Security & IT General Opportunities
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7751790003
EXCERPT: Security & IT General Opportunities Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras' environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization. What You May Work On Depending on the role and team needs, you
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TITLE: Technical Support Representative Night shift
EMPLOYER: Nexus
LOCATION: USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-13
APPLY_URL: https://job-boards.greenhouse.io/nexus/jobs/5219046008
EXCERPT: Technical Support Representative Night shift USA Technical Support Representative - Night Shift Job Description: We are seeking an organized, efficient, and detail-oriented Technical Support Representative. The ideal candidate will possess strong technical expertise and the problem-solving skills necessary to provide effective support and maintenance. Key Responsibilities: - Provide comprehensive support, repair, and assistance to retail locations regarding POS software and hardware issues. - Repair and maintain equipment, including Point of Sale terminals, scanners/scales, printers, drawers, monitors, keyboards, and computers, along with their relevant software. - Assist in the setup and installation of new hardware and POS-related software. - Perform troubleshooting on core system remote devices. - Engage in various computer-related break-fix repairs as needed. - Effectively manage time, prioritize tasks, and work independently while maintaining strong communication with store staff. Qualifications: - Proven experience and knowledge in replacing, configuring, and setting up new hardware and software. - Strong understanding of POS hardware (including all peripherals) - Proficient in electronic troubleshooting at the board level, with capabilities to repair terminals, computers, and peripherals at the component level. - Proficient in networking. You need to have your own equipment that you can use, including dual monitors and a strong wired internet connection. If you are a motivated individual who thrives in a fast-paced environment and enjoys problem-solving, we invite you to apply for this exciting opportunity.
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TITLE: Manager - Data Center Asset tracking and Accounting
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7611652003
EXCERPT: Manager - Data Center Asset tracking and Accounting Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Manager will be primarily responsible for tracking and recovery of Cerebras's data center infrastructure and assets globally through asset end of life. This leadership position requires an organized, highly motivated professional with the ability to drive operational and process improvements. The individual will perform a variety of tasks ranging from routine to complex analysis and play a critical part in asset tracking operations, including asset dispositions, transfers, and periodic cycle counts. This role requires comfort operating in a
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TITLE: Computer Systems Analyst (Project Manager)
EMPLOYER: EXL Service
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/requisitions/job/15381
EXCERPT: Computer Systems Analyst (Project Manager) United States We are seeking a highly skilled Computer Systems Analyst (Project Manager) with strong experience in system analysis, application delivery, and technical project management. The ideal candidate will serve as the bridge between business stakeholders and technical teams, leading the analysis, design, implementation, and optimization of enterprise applications, data solutions, and system modernization initiatives. The role requires expertise in requirements analysis, system architecture, data flows, cloud technologies, and project delivery, ensuring solutions are scalable, secure, and aligned with business objective
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TITLE: Customer Service Representative
EMPLOYER: Americold
LOCATION: Sioux City, IA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://fa-ewwt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/job/59904
EXCERPT: Customer Service Representative Sioux City, IA, United States This position requires warehouse customer knowledge and strong computer skills. Understanding HIGHJUMP platform is a must. Strong verbal communication with our high volume account customers and OTR drivers is required. Ability to navigate many tasks simultaneously is needed.
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TITLE: Performance & Reliability Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7528266003
EXCERPT: Performance & Reliability Engineer Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware. Responsibilities - Characterize and enhance the performance and reliability of advanced ML hardware/software
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TITLE: Advanced Technology: R&D Engineer - AI/ML, HPC
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691343003
EXCERPT: Advanced Technology: R&D Engineer - AI/ML, HPC Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing,
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TITLE: Computer Vision Algorithms Engineer
EMPLOYER: Swan
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2025-01-30
APPLY_URL: https://jobs.ashbyhq.com/swan/eb60f112-0d57-4669-95bd-11d1658c4bb5
EXCERPT: Computer Vision Algorithms Engineer Remote, United States About Us: Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund. Role Overview: We are seeking an experienced Software Engineer to join our team. The ideal candidate will possess strong expertise in both modern and classical computer vision algorithms, including, but not limited to SLAM, feature tracking, detection, modern ML and deep learning techniques, as well as experience with programming with C++ and Python and building production grade vision systems. Experience in aerial systems, particularly UAV / UAS is strongly preferred. Key Responsibilities: - Design, develop, and implement computer vision systems, including navigation systems for aerial applications. - Write clean, efficient, and well-documented code in C++ and Python. - Collaborate with cross-functional teams to design and test integrate robotic and vision systems. - Collaborate with external stakeholders, including customers to understand requirements, conduct tests and understand changes and improvements needed to be made. - Optimize system performance and ensure robust, reliable operation in diverse environments. - Debug and troubleshoot system issues to identify and implement effective solutions. Qualifications and Skills: - Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. - 5+ years of software development experience, ideally working on computer vision or machine learning problems. - Extensive experience in computer vision algorithms, SLAM, detection and tracking as well as modern machine learning and deep learning techniques. - Proficiency in C++ and Python,
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TITLE: Senior Computer Vision Machine Learning Engineer, Apple Wallet
EMPLOYER: Apple
LOCATION: Austin, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-04-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200630530/senior-computer-vision-machine-learning-engineer-apple-wallet?team=MLAI
EXCERPT: Senior Computer Vision Machine Learning Engineer, Apple Wallet Austin, United States of America Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment. Bring computer vision expertise and industry best practices to strengthen team capabilities Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection Deliver on roadmap commitments while identifying innovative approaches for model improvement Mentor early-career engineers, supporting their growth and project success Partner with cross-functional stakeholders, translating complex technical concepts and instilling trust Contribute to roadmap planning and execution, bringing industry best practices and novel architectural approaches Practice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apple's core principles around privacy, security and the customer experience Minimum Qualifications: Strong foundation in computer vision techniques
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TITLE: Strategic Finance, Compute
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/b4196174-9cc3-487d-9d21-848bc283b80f
EXCERPT: Strategic Finance, Compute San Francisco, California, United States About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI's compute roadmap. This team's key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and develop financial models across different elements of compute (GPUs, CPUs, storage and networking) - Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams - Maintain deep expertise on compute
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TITLE: AI Engineer, Model Quality and Performance
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-15
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7735288003
EXCERPT: AI Engineer, Model Quality and Performance Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use
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TITLE: Software Development Lead Analyst
EMPLOYER: Goodyear TIRE & Rubber
LOCATION: IN Hyderabad (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://goodyear.wd1.myworkdayjobs.com/GoodyearCareers/job/IN-Hyderabad/Software-Development-Lead-Analyst_JR-40105579
EXCERPT: Software Development Lead Analyst IN Hyderabad Roles & Responsibilities: The position will perform general software development on the company computer system so that company personnel, at all levels, can perform and record their day to day job activities. Write and test software on schedule in support of company objectives as defined by the software development manager. Resolve system outage incidents quickly using sustainable methods. Conform software to established coding guidelines, and Sarbanes-Oxley I/T guidelines, and ensure programs perform within acceptable CPU usage amounts. Communicate with other analysts as well as supervisors concerning software changes before, during, and upon their completion. Produce accurate time estimates for proposed projects. Responsible for the design, implementation, and effective support of related technologies. In addition, this individual has expert knowledge on Information Technology at large, with a firm understanding of related disciplines and how they interoperate. Responsible for leading design, implementation, and troubleshooting efforts and is directly accountable for the results. Skills Required: Bachelor's Degree in MIS, Computer Science, Engineering, Technology , Business Administration, or related discipline is required. With 10+ years of Development experience Knowledge of general computer environments/platforms, and familiarity with various computer languages and database structures. Specific knowledge of one or more of the following: CICS, DB2, TSO, JCL, COBOL, Ability to organize a project schedule and communicate with internal/external team members. Strong analytical and problem-solving skills; strong written and verbal communication skills with a strong command of English Solid solution design capabilities across functions and applications. Ability to work flexible working
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TITLE: Quantum Research Scientist, Processor Test & Measurement, AWS Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $136K-$184K
POSTED: 2026-02-05
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3175531/quantum-research-scientist-processor-test-measurement-aws-center-for-quantum-computing
EXCERPT: Quantum Research Scientist, Processor Test & Measurement, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Processor Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of experimental measurement techniques. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation. Key job responsibilities We are looking to hire a Research Scientist to develop and test novel calibration and optimization tools for Quantum Error Correction on large scale quantum processors. You will be on a team of engineers and scientists at the frontier of quantum processor control and error correction. You are expected to take part in high-impact research projects that intersect with our engineering roadmap. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential. A day in the life About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.
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TITLE: Advanced Technology: AI/ML Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003
EXCERPT: Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,
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TITLE: Sr. Quantum Research Scientist, AWS Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $159K-$215K
POSTED: 2025-09-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3080770/sr-quantum-research-scientist-aws-center-for-quantum-computing
EXCERPT: Sr. Quantum Research Scientist, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Processor Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of experimental measurement techniques. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation. Key job responsibilities We are looking to hire a Senior Research Scientist to develop and test novel calibration and optimization tools for Quantum Error Correction on large scale quantum processors. You will be a technical leader on a team of engineers and scientists at the frontier of quantum processor control and error correction. You are expected to develop & lead high-impact research projects that intersect with our engineering roadmap. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential. A day in the life About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud
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TITLE: Engineering Manager, Inference ML Runtime
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7677112003
EXCERPT: Engineering Manager, Inference ML Runtime Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role The Inference ML Engineering team at Cerebras builds the runtime, APIs, and systems that power the fastest generative AI inference platform in the world. As an Engineering Manager, Inference ML Runtime , you will lead a team responsible for designing and scaling the systems that enable seamless execution of state-of-the-art AI models on Cerebras hardware. You will operate at the intersection of machine learning, distributed systems, and high-performance runtime engineering , translating cutting-edge research into production-ready infrastructure to serve
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TITLE: Global Account Manager, NACI OCI AI & Healthcare
EMPLOYER: Oracle
LOCATION: United States, US (unspecified)
SALARY: $127K-$207K
POSTED: 2026-06-03
PARENTAL_LEAVE_WEEKS: 14 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 14 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.oracle.com/en/sites/jobsearch/job/333482/
EXCERPT: Global Account Manager, NACI OCI AI & Healthcare United States, US 5-15 years of experience in strategic enterprise technology sales within high-tech industries Strong background selling into Health & Science organizations including enterprise pharma, biotech, med tech, healthcare, or life sciences companies Demonstrated success managing complex enterprise sales cycles and large strategic accounts Strong technical acumen with the ability to understand sophisticated infrastructure requirements, customer challenges, and solution architectures Experience collaborating across cross-functional teams including engineering, product, legal, finance, and executive leadership Expertise negotiating enterprise agreements and building complex commercial contracts Strong communication, presentation, and executive relationship management skills Proven ability to manage multiple high-value opportunities simultaneously in a fast-paced environment Preferred Qualifications Experience selling high performance computing (HPC), AI infrastructure, cloud infrastructure, GPU compute, or related technologies Familiarity with technical computing environments supporting life sciences and scientific research workloads Experience supporting organizations running computational chemistry, molecular modeling, genomics, drug discovery, simulation, or AI-driven research platforms Knowledge of industry regulatory frameworks, data governance, and compliance standards relevant to healthcare and life sciences Ideal Candidate Profile The ideal candidate is a highly strategic and entrepreneurial sales leader who combines executive-level customer engagement skills with a strong desire to operate hands-on in complex, high-impact enterprise pursuits. This role is well suited for individuals who have experience leading teams, owning large strategic accounts, or managing global business responsibilities and are energized by the opportunity to directly shape and scale a rapidly growing AI infrastructure business. Successful candidates will bring a builder mentality and
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TITLE: Principal Engineer, Inference Cloud
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7480543003
EXCERPT: Principal Engineer, Inference Cloud Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Location: Sunnyvale We're hiring a Principal Engineer for our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and multi-region scale. This is one of the most senior IC roles on the team, for someone who can identify the highest-leverage platform problems, set direction across multiple teams, define long-term architecture, and write production code on critical paths. Many of the key decisions are ambiguous at the outset; you'll need to frame the problem, make tradeoffs, and drive execution
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TITLE: Full Stack Engineer – Manufacturing Test
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$220K
POSTED: 2026-02-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628224003
EXCERPT: Full Stack Engineer – Manufacturing Test Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As a Full Stack Engineer focusing on Cerebras' manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing - from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities - Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation,
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TITLE: Playtest Lead — ClusterCraft Contract / part-time · ~8-10 hrs/week ·
EMPLOYER: Strong Compute
LOCATION: Sydney, NSW (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.lever.co/strongcompute/354d279c-71f6-4dd1-903b-6b6d6d298bc0
EXCERPT: Playtest Lead — ClusterCraft Contract / part-time · ~8-10 hrs/week · Sydney, NSW ClusterCraft is a tycoon/resource manager style game about running an AI compute cluster - power, cooling, GPUs, networking, training workloads, and the costs that tie them together. Built as a game/simulator for our real product. After a year of dev, we're ready for players. See what it looks like: https://www.youtube.com/playlist?list=PLteq7Tjf0g7To2nG5PPfvCX9KYmc0pctc The job Run 5 playtest sessions/week. Source testers, schedule, run, synthesize, hand structured feedback to devs. Sessions are 10-30 min today; we want them longer. The hard part ClusterCraft needs feedback from two audiences: tycoon gamers and infra/FinOps people. If you already have a foothold in either community, that's most of why we'd hire you. Bonus, not required Tune variables and level design yourself if you're technical. Logistics Initial onboarding sessions for a few hours with our team for you to understand the simulator and its features. Work hours of your choosing (subject to playtester availability) most of the time.. (Most of our team centers around Sydney time zone.) Rate depends on experience and network - tell us what you'd want. About us Strong Compute makes software manage high performance compute assets across multiple cloud vendors. We are a startup, largely based in Sydney and have been in operation for over 4 years.
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TITLE: Electronic Imaging Technician II, Computed Tomography
EMPLOYER: Sutter Health
LOCATION: Folsom, California, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://wd1.myworkdaysite.com/recruiting/sutterhealth/SH/job/Folsom/Electronic-Imaging-Technician-II--Computed-Tomography_R-129174/apply
EXCERPT: Electronic Imaging Technician II, Computed Tomography Folsom, California, United States of America Embrace the role of an Electronic Imaging Technician II and play a vital role in supporting advanced diagnostic imaging systems. You'll maintain, troubleshoot, and ensure data quality across multiple imaging modalities. If you have strong technical skills, attention to detail, and a passion for healthcare technology, this is your opportunity to make an impact.
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TITLE: Applied Machine Learning Research Scientist
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7655035003
EXCERPT: Applied Machine Learning Research Scientist Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the
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TITLE: Manager, Business Operations
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7720168003
EXCERPT: Manager, Business Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This role is a high-leverage seat in that build and a deliberate apprenticeship into operating leadership. You will create the business operations, analytics, and execution system that keeps decision-ready insight flowing as the company scales. You will be embedded with operators, turning messy operational reality into durable processes, clear metrics, and repeatable operating rhythms. You will report to the Head of FP&A and work in close partnership with the COO and operations leadership. Why now Cerebras is scaling to meet accelerating demand for fast
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TITLE: Senior Cloud Architect (AWS)
EMPLOYER: Quantum Circuits
LOCATION: New Haven, CT (unspecified)
SALARY: Not disclosed
POSTED: 2025-05-30
APPLY_URL: https://jobs.lever.co/quantumcircuits/fdb7cdfc-bcf1-4ba6-8915-80fe0e7ea059
EXCERPT: Senior Cloud Architect (AWS) New Haven, CT At Quantum Circuits Inc., we are building the world's first truly algorithmic quantum computers to achieve transformational computing capabilities. Our full-stack quantum computing platform uses dual-rail superconducting devices along with a modular, robust, and scalable architecture. Our unique approach is based on a decade of technology research and breakthroughs at Yale University's world-renowned quantum labs. We are seeking a highly skilled and self-motivated Senior Cloud Architect to join our dynamic team. The ideal candidate has a strong background in leading the design, implementation, and continuous improvement of our cloud infrastructure. This is a senior, hands-on role ideal for a systems thinker who can architect complex distributed systems, guide modernization efforts, and contribute directly to high-priority cloud initiatives. Our cloud-based applications frequently interface with specialized hardware platforms, including embedded systems and scientific instrumentation, and support a range of data-intensive workloads. While direct experience with these systems isn't required, a strong conceptual understanding of Linux internals, embedded environments, or FPGA-based architectures will enable you to architect more effective, integrated solutions. You'll be expected to work independently, lead projects from concept through delivery, and collaborate cross-functionally to align technical solutions with organizational objectives. At Quantum Circuits Inc., we are building the world's first truly algorithmic quantum computers to achieve transformational computing capabilities. Our full-stack quantum computing platform uses dual-rail superconducting devices along with a modular, robust, and scalable architecture. Our unique approach is based on a decade of technology research and breakthroughs at Yale University's world-renowned
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TITLE: Performance Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7112048003
EXCERPT: Performance Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join Cerebras as a Performance Engineer within our innovative Runtime Team. Our groundbreaking CS-3 system, hosted by a distributed set of modern and powerful x86 machines, has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role will challenge and expand your expertise in optimizing AI applications and managing computational workloads primarily on the x86 architecture that run our Runtime driver. Responsibilities - Focus on CPU
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TITLE: Quantum Scientist - Time-to-Solution & Benchmarking
EMPLOYER: QuEra Computing
LOCATION: Albuquerque, NM, USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-20
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5128162008
EXCERPT: Quantum Scientist - Time-to-Solution & Benchmarking Albuquerque, NM, USA Summary QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads. Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA's Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight. Qualifications - 5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems. - Strong background in quantum information science, computational physics, or a closely related quantitative discipline. - Proficiency in numerical modeling and data analysis using Python or Julia. - Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models. - Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration. Preferred Qualifications - Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar). - Experience developing or using abstracted error and performance models to evaluate system-
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TITLE: Full Stack Software Engineer - ML Compute Capacity
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200646657/full-stack-software-engineer-ml-compute-capacity?team=MLAI
EXCERPT: Full Stack Software Engineer - ML Compute Capacity Santa Clara, United States of America Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing. As a senior engineer on the ML Compute Capacity team, you will design, build, and operate the production systems that ensure compute resources are optimally distributed throughout the company. You'll work across the stack - from data pipelines and backend services to APIs and interactive frontends - developing telemetry systems, optimization algorithms, policies, and intuitive tools for managing demand and improving efficiency across Apple's largest accelerator fleet. Our small, nimble team works in a high-autonomy, fast-paced environment, and we're passionate about digging into data patterns, laying out the performance characteristics of an entire distributed system, and knowledge sharing. If the opportunity to own and operate services that scale, stay highly available, and "just work" excites you, then please reach out to us! Build and operate demand and capacity planning systems Build data pipelines and telemetry systems that ingest, normalize, and serve fleet-wide utilization and cost data across multi-tenant and heterogeneous fleets Develop observability infrastructure - monitoring, alerting, and dashboards - that surfaces real-time fleet health and efficiency signals Drive innovation in forecasting, optimization, and supply chain management tooling that works at scale Build end-to-end tooling - from data models and
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TITLE: Solutions Architect, Solutions Architecture
EMPLOYER: Amazon
LOCATION: Taipei City, TWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-26
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10430474/solutions-architect-solutions-architecture
EXCERPT: Solutions Architect, Solutions Architecture Taipei City, TWN Do you like helping hi-tech and semiconductor companies solve their most complex technical challenges? Would you like to do this using the latest cloud computing technologies including GenAI and agentic AI? Do you have a passion for enabling chip designers and product engineers to innovate faster and more efficiently through cloud modernization? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build strong customer relationships. As a Solutions Architect on the Hi-Tech & Semiconductor team, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of AWS services - including compute, storage, networking, analytics, AI/ML, Generative AI, and HPC - within hi-tech and semiconductor accounts pursuing cloud modernization and digital transformation. You will be the bridge between our customers' most complex computational challenges and AWS's most advanced cloud infrastructure capabilities. You will own the technical engagement and ultimate success around specific implementation projects, with a strong focus on: Cloud Modernization & Infrastructure Optimization: Helping customers modernize their infrastructure, optimize compute-intensive and memory-intensive workloads, and transition to cloud-native architectures Compute-Intensive Workload Architecture: Architecting scalable solutions for demanding engineering workloads - including frontend design (RTL, synthesis, simulation), backend design (place and route, timing closure, signoff), CAE/CAD product engineering, and
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TITLE: Executive Director, Computational Systems Biology
EMPLOYER: Revolution Medicines
LOCATION: Redwood City, California, United States (unspecified)
SALARY: $265K-$331K
POSTED: 2026-04-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.revmed.com/careers-list/?gh_jid=7694323003
EXCERPT: Executive Director, Computational Systems Biology Redwood City, California, United States Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: As an Executive Director and Head of Research Computational Biology within our Biology Function, the individual will oversee the scientific and strategic direction of systems biology research and preclinical computational biology initiatives. The individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. We are looking for an experienced leader with strong interpersonal skills and an ability to lead a strong and diverse computational biology team. Key aspects of the role include: - Strategic vision and leadership: Develop and implement a long-term strategy for research systems biology and bioinformatic activities to support a growing pipeline of RAS(ON) and novel targeted inhibitors. Lead and supervise
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TITLE: Cluster UI Full Stack, Engineering Lead
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-28
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7608975003
EXCERPT: Cluster UI Full Stack, Engineering Lead Bengaluru, Karnataka, India; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role In this role, you will be building a world class UI-based large-scale cluster management portal. This portal will act as one stop for all operations and maintenance of cerebras clusters - such as cluster bringup deployment (day0/1/2), job management, health management to name a few. Cerebras AI clusters may have 1000's of Wafer-scale accelerator systems, several 1000's of high-end servers, and several 1000's of networking ports including switches. Responsibilities - Be the primary engineering face and owner
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TITLE: Rebate Analyst
EMPLOYER: TD Synnex
LOCATION: Mumbai, India (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://synnex.wd5.myworkdayjobs.com/tdsynnexcareers/job/Mumbai-India/Rebate-Analyst_R46048/apply
EXCERPT: Rebate Analyst Mumbai, India Join our team as a Rebate Analyst, where you will play a crucial role in maximizing profitability through effective rebate computation and vendor reconciliation. If you have strong analytical skills and a background in finance, we want to hear from you!
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TITLE: Principal ML Investigator
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7560555003
EXCERPT: Principal ML Investigator Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Cerebras is adding an ML team that can focus on a new ML effort that can align with existing teams. We are seeking a principal investigator who will partner with our ML leaders to formulate the new effort and to build up the new team and capabilities. This new team would coordinate with our current ML teams: Field ML, which works directly with customers, Applied ML, which builds new ML capabilities and applications for customers, and Core ML, which adapts ML algorithms to find
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TITLE: Full Stack LLM Engineer
EMPLOYER: Cerebras Systems
LOCATION: Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-07-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6654277003
EXCERPT: Full Stack LLM Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI
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TITLE: Kernel Engineer — Scientific Computing (SPU)
EMPLOYER: Vorticity
LOCATION: Redwood City | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/vorticity/14097a55-df8b-41a5-b5b2-80cad7257550
EXCERPT: Kernel Engineer — Scientific Computing (SPU) Redwood City | OnSite Vorticity is building the world's first Scientific Processing Unit (SPU https://pyrite9.com), a new class of silicon purpose-built to accelerate scientific computing beyond the limits of GPUs. We are designing tightly coupled software-hardware systems around applied mathematics workloads to deliver order-of-magnitude performance gains. Unlocking its full potential requires early, deep engagement from applied mathematics-driven software engineers who can translate real-world scientific workloads into executable models, kernels, libraries, and applications that inform both architecture and tooling decisions. As a Kernel Engineer, you will work at the intersection of applied mathematics, scientific computing, parallel programming, and low-level performance engineering. You will help shape how numerical kernels are implemented, optimized, and eventually mapped onto the SPU. Your work may include building early numerical kernels and libraries, developing prototype applications, and writing Python-based workload models and simulators, all to support and inform the evolving hardware and compiler stack. This requires both strong applied math fundamentals and deep low-level implementation ability. You should be comfortable moving from mathematical formulations to efficient kernels, reasoning about accuracy, stability, data movement, memory hierarchy, parallel execution, and compiler behavior along the way. This position is ideal for someone who combines strong scientific computing instincts with the low-level habits of a performance engineer. RESPONSIBILITIES - Prototyping and implementing core kernels and low-level numerical primitives for the SPU. - Translating mathematical formulations into executable, performance-relevant kernel implementations. - Analyzing and optimizing me
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TITLE: Senior Principal Research Scientist, Computational Drug Discovery HitGen/LeadGen Team Lead
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990013568566-senior-principal-research-scientist-computational-drug-discovery-hitgen-leadgen-team-lead
EXCERPT: Senior Principal Research Scientist, Computational Drug Discovery HitGen/LeadGen Team Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Purpose This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. Reports to Head of Computational Drug Discovery (CDD) and will lead the computational HitGen/LeadGen (HGLG) team. Will implement and enable close collaboration between members of the HGLG team and partners in the Target Enabling Technologies (TET) and Global Medicinal Chemistry (GMEC) teams. Must possess a strong expertise in modern medicinal chemistry, including a deep understanding of modern computational and experimental strategies, and property-based drug design. The ideal candidate will have a strong and established background from having worked on a broad range of diverse early-stage campaigns, and an established external footprint and network. Past experience will have included mentorship of early/mid-career scientists in matrixed and/or direct reporting relationships. Responsibilities Consult with project team to establish desirable project-relevant hit/lead criteria, and assigning an HGLG member to the project team that
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TITLE: Applied AI/ML Scientist
EMPLOYER: Cerebras Systems
LOCATION: UAE (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7588502003
EXCERPT: Applied AI/ML Scientist UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those
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TITLE: Sr. Member of Technical Staff
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $230K-$250K
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728796003
EXCERPT: Sr. Member of Technical Staff Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras Systems Inc. has multiple openings for Sr. Member of Technical Staff Title: Sr. Member of Technical Staff Job Duties: - Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments. - Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance. - Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks. -
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TITLE: Thesis Quantum Computing and Generative Models (f/m/x)
EMPLOYER: BMW
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://www.bmwgroup.jobs/job-invite/172466/?locale=en_US
EXCERPT: Thesis Quantum Computing and Generative Models (f/m/x) Location not specified SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE. SHARE YOUR PASSION. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. Our team at the BMW Group explores innovative solutions in quantum computing and generative models to advance research in quantum chemistry. We offer you the opportunity to support pioneering projects in a collaborative environment. What awaits you? You will support the team in applying generative models to quantum chemistry challenges. Furthermore, you help to develop and implement quantum algorithms for research purposes. In addition, you participate in research and development activities to explore new applications of quantum computing. Please note that your thesis must be supervised by a university on your part. What should you bring along? Studies in computer science, engineering, physics or a related field. Strong programming skills, preferably in Python. Experience or coursework in machine learning. Interest in quantum computing and quantum chemistry. Ability to collaborate in a dynamic team environment. Good English skills. Would you like to support our team in advancing quantum computing and generative models? Then apply now! What do we o
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TITLE: Director, AI Storage Product Management
EMPLOYER: Celestica Inc.
LOCATION: City Remote Employee US | State/Province New Hampshire | Country USA (remote)
SALARY: $162K-$162K
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.celestica.com/job/Remote-Employee-US-Director%2C-AI-Storage-Product-Management-NH/1366486833/
EXCERPT: Director, AI Storage Product Management City Remote Employee US | State/Province New Hampshire | Country USA Req ID: 133067 Region: Country USA State/Province: State/Province New Hampshire City Remote Employee US Summary Celestica's Hardware Product Solutions group has a critical opening for a Director, AI Storage Product Line Management position. This individual must possess a strong understanding of datacenter Artificial Intelligence (AI) computing to include AI server and AI storage requirements. This individual will be a product leader in this rapidly growing business, working closely with multiple functional teams within Celestica to drive the development of platforms that help Enterprises and Service Providers transform their businesses using AI technologies. The ideal candidate will have strong knowledge of hardware technologies such as AI servers & AI storage and have experience with hardware & software product management to include understanding the full product lifecycle (cradle to grave). The candidate will own critical product line management responsibilities and be an active contributor in setting up processes to increase the impact of strong product management practices. This opportunity requires excellent business, technical, problem-solving, and communication skills. The role is best suited for candidates in Bay Area. Detailed Description Drive AI storage & compute product strategy and establish optimal roadmap to include new products and services. Understand what will make AI storage & compute portfolio competitive and define winning features, pricing, launch/GA tar
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TITLE: Senior Performance Engineer, Inference
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7698266003
EXCERPT: Senior Performance Engineer, Inference Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are hiring a Senior Performance Engineer to join our Product team. You are an expert on state-of-the-art inference performance and will serve as our resident expert on how Cerebras stacks up against alternative inference providers on both price and performance. This role sits at the intersection of performance benchmarking from first principles and competitive intelligence. The role has two core pillars: - Performance Benchmarking You will build, run, and maintain reproducible benchmarks that measure Cerebras inference performance for real customer workloads. This
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TITLE: Account Executive (Cloud & AI Specialist)
EMPLOYER: Cisco
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://cisco.wd5.myworkdayjobs.com/Cisco_Careers/job/Kuala-Lumpur-Malaysia/ASEAN-Regional-Hyperspecialist--Cloud---AI-Systems-_2006472
EXCERPT: Account Executive (Cloud & AI Specialist) 2 Locations Meet the Team The ASEAN Cloud & AI business is a key growth area for Cisco with strong and consistent growth record. This role is ultimately responsible for the Go to Market strategy and growth for our Data Center products and solutions across ASEAN region. You will be required to work closely with the Worldwide solutions peers, internal account teams, CAI Architecture Sales teams and our partners. You will collaborate with the Sales team to shape/drive top priorities and core initiatives focused on long-range growth and profitability within country. Your Impact You play a critical role in enabling Cisco to take Data Center Virtualization Solutions to market in areas of Network & IT Infrastructure and Public/Private/Hybrid DC Cloud Solutions. Your role as a Regional Specialist requires a balance of strong grounded technical and sales/business experience as well as hands-on compute system skillset. You will be working closely with Cisco Cloud & AI (CAI) & Account Teams across all customer segments (Tier-1 Enterprises, Government Agencies, and Service Providers) to develop and drive growth of CAI business. The role will invariably include working on incubating, nurturing Transformational opportunities in customer journeys. You have strong experience in the following primary responsibilities that make-up the role: Engagement with technical decision makers and business infrastructure GMs within the Accounts with identified Data Center opportunities of AI, Networking, Compute, Storage, Automation, and Applications. Ability to drive technical solutions development for AI full stack systems solutioning, including AI Compute
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TITLE: AI Systems, Language & Reasoning Models
EMPLOYER: Unconventional AI
LOCATION: Palo Alto, CA I US Remote (remote)
SALARY: Not disclosed
POSTED: 2026-04-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://unconv.ai/careers/?gh_jid=4221631009
EXCERPT: AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -
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TITLE: Kernel Engineer
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7486714003
EXCERPT: Kernel Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize
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TITLE: Quantum Applications Scientist
EMPLOYER: QuEra Computing
LOCATION: Harwell, England, UK (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-10
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4952099008
EXCERPT: Quantum Applications Scientist Harwell, England, UK Summary QuEra Computing UK is seeking a talented, impact-motivated theoretical researcher with strong expertise in quantum computing applications. You will be a part of the team aiming to co-design novel quantum simulation applications for QuEra's neutral-atom hardware. Working individually and as part of a team, you will interact with academic collaborators, clients, business partners, and other users of quantum computing to address fascinating challenges, from the inclusion of near-term error correction approaches in quantum simulation algorithms to the design of new application pipelines, for example in quantum materials simulation , quantum chemistry or nuclear physics. Qualifications - Ph.D. degree in physics, computer science, or a related discipline, or equivalent professional experience, - A strong background in quantum computing and/or quantum algorithms, including - expertise in quantum simulation applications, preferably in condensed matter physics, quantum materials, nuclear physics and/or quantum chemistry, - expertise in using and/or developing numerical simulation techniques of many-body systems and/or quantum circuits, for example using Pauli propagation, Clifford simulation, tensor networks (MPS, DMRG, etc.), exact diagonalisation, sparse matrix methods, density-functional theory, coupled-cluster + extensions, DMFT - experience in using quantum circuit programming and compilation, for example using Cirq, Qiskit, Tket, CUDA-Q - An exceptional publication record in relevant fields, - Ability to collaborate effectively in cross-functional teams Preferred Qualifications - Knowledge of quantum error correction schemes and quantum simulation in the fault-tolerant era, - Experience translating theoretical ideas and protocols to quantum computing hardware, and - Experience working with or knowledge
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TITLE: Software Development Manager , Serverless Compute Fabric
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $203K-$275K
POSTED: 2026-06-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10442075/software-development-manager-serverless-compute-fabric
EXCERPT: Software Development Manager , Serverless Compute Fabric New York, New York, USA AWS Serverless Compute is at the heart of the Serverless movement. It is a fast growing service that is becoming the default compute platform for a wide range of applications including executing untrusted and AI generated code in isolated environments with near-instant launch and resume capabilities. We are looking for a software development manager to lead feature development for Serverless Compute. This role requires ownership, autonomy, and an ability to deliver results. You should be a self-starter with a bias towards independent problem solving. Clear communication and prioritization will be important as you partner with Product Management to plan, and deliver experiences for customers of Serverless Compute Platform. You have a passion for managing complex technology projects and helping the team make strong business judgments. Experience building low-latency compute infrastructure is preferred. How do you know if you are a good fit for us? You are fascinated by the challenge of building innovative, global-scale software systems. You value the purposefulness and connect to customers in every action, decision and code delivered. You are inspired by difficult problems and by quickly finding solutions that will stand the test of time. You relish the opportunity to take active ownership for building and operating a service that delights customers. Why do we believe that we are a good fit for you? You'll be part of a team with smart leaders and engineers who value empathy, inclusion and thought diversity. We set
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TITLE: AI Silicon Physical Design Engineer
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States; Sunnyvale, CA (remote)
SALARY: $150K-$250K
POSTED: 2025-04-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6549894003
EXCERPT: AI Silicon Physical Design Engineer Remote, California, United States; Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture. Skills & Qualifications - 10+ years of physical design & physical verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Strong experience in block/subsystem timing closure. - Expert at optimizing for the
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TITLE: Staff/Sr. ML Compute Efficiency Engineer
EMPLOYER: Apple
LOCATION: Santa Clara, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-01-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200619215/staff-sr-ml-compute-efficiency-engineer?team=MLAI
EXCERPT: Staff/Sr. ML Compute Efficiency Engineer Santa Clara, United States of America Scaling machine learning workloads across thousands of GPUs and TPUs creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing. As a performance engineer in the ML Compute Efficiency team, you'll tackle ambiguous systems challenges, identify inefficiencies and build solutions that maximize accelerator utilization, reduce idle and fragmented capacity, and minimize recovery periods. This includes analyzing accelerator performance, digging into various parallelism techniques, and refining workload scheduling and orchestration across the compute fleet. Characterize ML workload behavior through profiling, benchmarks and metrics. Dive into unfamiliar codebases to prototype changes, evaluate tradeoffs, and build production-ready solutions. Design systems for efficient recovery from failures and preemptions. Create tools to identify and alert bottlenecks across applications and frameworks. Use workload-driven insights to influence next-generation hardware selection and procurement decisions. Collaborate closely with ML researchers and infrastructure engineers to address inefficiencies. Drive impact through hands-on contribution and mentorship. Minimum Qualifications: Experience with large-scale distributed systems for AI/ML workloads running on GPUs or TPUs. Strong software engineering skills with experience developing and optimizing training frameworks (e.g. PyTorch, JAX) using C/C++ or Python. Experience working on cross-functional projects with ML research and infrastructure teams. Familiarity with model architectures and various training techniques. Bachelor's degree in Computer Science or equivalent experience, with 7+ years of industry experience. Preferred
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TITLE: Member of Technical Staff - Compute Infrastructure
EMPLOYER: xAI
LOCATION: Palo Alto, CA; Seattle, WA (unspecified)
SALARY: $180K-$440K
POSTED: 2026-03-06
APPLY_URL: https://job-boards.greenhouse.io/xai/jobs/5052040007
EXCERPT: Member of Technical Staff - Compute Infrastructure Palo Alto, CA; Seattle, WA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack - from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization - to make training and inference at xAI as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress. RESPONSIBILITIES : - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA
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TITLE: Senior Manager, Compute Accounting
EMPLOYER: Anthropic
LOCATION: San Francisco, CA | Seattle, WA (unspecified)
SALARY: $190K-$230K
POSTED: 2026-03-03
APPLY_URL: https://job-boards.greenhouse.io/anthropic/jobs/5128198008
EXCERPT: Senior Manager, Compute Accounting San Francisco, CA | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Manager, Compute Accounting at Anthropic, you will own the end-to-end accounting for our compute expenses, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute accounting-from contract review and compliance through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong data and analytical capabilities, and the ability to build scalable processes in a high-growth environment. You'll partner directly with the relevant Engineering, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial records and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant compute spend with precision and confidence. Responsibilities: - - Own the complete accounting lifecycle for compute expenses, ensuring accurate and timely recording of all costs - Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms - Design and implement accrual
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TITLE: Principal Engineer, Compute Fleet Management
EMPLOYER: Databricks
LOCATION: Bellevue, Washington (unspecified)
SALARY: $264K-$322K
POSTED: 2025-12-11
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
APPLY_URL: https://databricks.com/company/careers/open-positions/job?gh_jid=8334738002
EXCERPT: Principal Engineer, Compute Fleet Management Bellevue, Washington # P-725 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. About the Team: Join the Core of Databricks Infrastructure The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world. Mission: Define the Future of Cloud Compute Efficiency and Scale As the Technical Lead for Compute Fleet Management, you won't just manage a fleet-you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes: - Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation. - Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on. - Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage
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TITLE: Director / Senior Director, Critical Facility Operations
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762028003
EXCERPT: Director / Senior Director, Critical Facility Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role At Cerebras, we build systems that redefine the scale of compute. That ambition extends beyond silicon into the infrastructure that powers it. We are looking for a Director / Sr. Director of Critical Facility Operations to lead the environments that enable next-generation AI workloads. This leader will own availability, operational integrity, and performance across a colocation-driven data center footprint-ensuring our infrastructure operates with precision, predictability, and zero room for error. This is not a traditional facilities role. You will operate at
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TITLE: AI Trainer - Computer Scientist (PST)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761598101
EXCERPT: AI Trainer - Computer Scientist (PST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Product Manager, Strategic Verticals
EMPLOYER: Cerebras Systems
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6585289003
EXCERPT: Product Manager, Strategic Verticals San Francisco, California, United States Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Our customers span leading AI Native companies, Fortune 500 Enterprises, Sovereign AI and Federal programs, and leading research institutions. Our mission is to deliver the platform that unlocks the next generation of AI applications, providing the fundamentally new capability to leverage the most intelligent models at real-time serving speeds. Why Cerebras? Here at Cerebras, we have built the world's first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers
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TITLE: AI Trainer - Computer Scientist (CAN)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761600101
EXCERPT: AI Trainer - Computer Scientist (CAN) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Staff Kernel Optimzation Engineer
EMPLOYER: Cerebras Systems
LOCATION: Remote, California, United States (remote)
SALARY: Not disclosed
POSTED: 2026-02-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7620254003
EXCERPT: Staff Kernel Optimzation Engineer Remote, California, United States Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed
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TITLE: AI Trainer - Computer Scientist (EST)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761592101
EXCERPT: AI Trainer - Computer Scientist (EST) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Site Reliability Engineer - Ops & Automation
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2025-10-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7497712003
EXCERPT: Site Reliability Engineer - Ops & Automation Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff
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TITLE: AI Trainer - Computer Scientist (UK)
EMPLOYER: Prolific
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/prolific/jobs/4761602101
EXCERPT: AI Trainer - Computer Scientist (UK) Remote AI Trainer - Computer Scientist About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing computer science-related content Judging the performance of AI on programming, algorithms, data structures, and systems prompts Improving cutting-edge AI models using your understanding of software engineering and computational thinking What you'll bring Background in Computer Science and ideally a degree in Computer Science or a closely related field Strong understanding of
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TITLE: Senior Principal Research Scientist, Computational Drug Discovery Optimization Team Lead
EMPLOYER: AbbVie Inc.
LOCATION: North Chicago, IL, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
PARENTAL_LEAVE_WEEKS: 12 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 12 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/AbbVie/3743990012924307-senior-principal-research-scientist-computational-drug-discovery-optimization-team-lead
EXCERPT: Senior Principal Research Scientist, Computational Drug Discovery Optimization Team Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Purpose: This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. Reports to Head of Computational Drug Discovery (CDD) and will lead the computational Lead Optimization team. Will implement and enable collaborative design between members of the Optimization team and Global Medicinal Chemistry (GMEC) teams. Must possess strong expertise in modern medicinal chemistry, including a deep understanding of modern computational and experimental strategies, property-based drug design, and pharmacology needed to develop low-dose small molecule drug candidates. The ideal candidate will have a strong and established background in drug discovery from exploratory through candidate nomination including an established external footprint, and network as well as a proven track record of successfully leading diverse project teams to identify novel drug candidates. Past experience will have included mentorship of early/mid-career scientists in matrixed and/or direct reporting relationships. Responsibilities: Consult with project team and
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TITLE: Principal Engineer System Compute (f/m/div)
EMPLOYER: Infineon Technologies
LOCATION: Langen (Frankfurt am Main) (Germany) (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://infineon.eightfold.ai/careers/job/563808970374969
EXCERPT: Principal Engineer System Compute (f/m/div) Langen (Frankfurt am Main) (Germany)
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TITLE: Senior Solutions Architect, Solutions Architecture
EMPLOYER: Amazon
LOCATION: Taipei City, TWN (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10436462/senior-solutions-architect-solutions-architecture
EXCERPT: Senior Solutions Architect, Solutions Architecture Taipei City, TWN Do you like helping hi-tech and semiconductor companies solve their most complex technical challenges? Would you like to do this using the latest cloud computing technologies including GenAI and agentic AI? Do you have a passion for enabling chip designers and product engineers to innovate faster and more efficiently through cloud modernization? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build strong customer relationships. As a Senior Solutions Architect on the Hi-Tech & Semiconductor team, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of AWS services - including compute, storage, networking, analytics, AI/ML, Generative AI, and HPC - within hi-tech and semiconductor accounts pursuing cloud modernization and digital transformation. You will be the bridge between our customers' most complex computational challenges and AWS's most advanced cloud infrastructure capabilities. You will own the technical engagement and ultimate success around specific implementation projects, with a strong focus on: Cloud Modernization & Infrastructure Optimization: Helping customers modernize their infrastructure, optimize compute-intensive and memory-intensive workloads, and transition to cloud-native architectures Compute-Intensive Workload Architecture: Architecting scalable solutions for demanding engineering workloads - including frontend design (RTL, synthesis, simulation), backend design (place and route, timing closure, signoff), CAE/CAD product
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TITLE: AI Infrastructure Operations Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2024-03-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/5913347003
EXCERPT: AI Infrastructure Operations Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are seeking a highly skilled and experienced AI Infrastructure Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep
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