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: 2
- per_page: 100
- sort: relevance

Jobs (100 total):

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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)
---
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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TITLE: Associate Inventory
EMPLOYER: Atkore Inc
LOCATION: Hobart IN (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
APPLY_URL: https://recruiting2.ultipro.com/ATK1000ATKOR/JobBoard/18eec16a-a1ec-458b-82c9-cb3af8866255/OpportunityDetail?opportunityId=95a3e40a-ec3c-4d7a-ae5c-695a7a9f6fd3
EXCERPT: Associate Inventory Hobart IN We are currently looking for an Inventory Control Associate to work in our Hobart, IN facility. This role will work in partnership with the warehouse operations team to help maintain the accurate tracking of inventory within the entire facility. The ideal candidate will have a strong attention to detail and computer skills.
---
TITLE: Head of IT
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7677635003
EXCERPT: Head of IT 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 Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is not a steady-state IT leadership job, It is a build-and-scale role for someone who thrives when the ground is moving. You will own the systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a
---
TITLE: Salesforce Developer – Field Service Lightning
EMPLOYER: Saronic Technologies
LOCATION: Austin, TX, Austin, Texas, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-07
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/saronic/e096304b-0302-4ba2-ac0e-1f9ccea7cbe2
EXCERPT: Salesforce Developer – Field Service Lightning Austin, TX, Austin, Texas, United States Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a Salesforce Developer with strong experience in Field Service Lightning to build and optimize field service solutions. This role will focus on scheduling, dispatch, and mobile workforce enablement within Salesforce. Responsibilities - Design and develop solutions within Salesforce Field Service Lightning - Customize FSL components including work orders, service appointments, and scheduling - Develop Apex, Lightning components, and automation for FSL use cases - Integrate FSL with other enterprise systems such as ERP and middleware - Collaborate with stakeholders to improve field service processes - Support mobile solutions and offline capabilities - Ensure performance, scalability, and usability of FSL implementations - Troubleshoot and resolve platform issues - Maintain technical documentation and best practices Qualifications - 5 to 8 plus years of Salesforce development experience - Hands-on experience with Salesforce Field Service Lightning - Strong experience with Apex and Lightning components - Understanding of scheduling and field operations workflows - Experience with integrations and APIs - Salesforce FSL certification preferred - Strong problem-solving and collaboration skills - Bachelor's degree in Computer Science or related field Physical Demands - Prolonged periods of sitting at a desk and working on a computer. - Occasional standing and walking within the office. - Manual dexterity to operate a computer keyboard, mouse, and other office
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TITLE: Control Stack Manager, Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $184K-$249K
POSTED: 2026-02-18
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/3183469/control-stack-manager-center-for-quantum-computing
EXCERPT: Control Stack Manager, Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Control Stack Manager to join our growing software group. You will lead a team of interdisciplinary scientists and software engineers, focused on developing research software and infrastructure to support the development and operation of scalable fault-tolerant quantum computers. You will interface directly with our experimental physics and control hardware teams to develop and drive a vision for the experimental quantum computing software-hardware interface. The ideal candidate will (1) have strong technical breadth across low-level programming, scientific instrumentation, and computer architecture, (2) have excellent communication skills and a proven track record of collaborating with scientists and hardware engineers, and (3) be excited about empowering and growing a team of scientists and software engineers. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path,
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TITLE: Senior ML Software Engineer - Integration & Quality
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7620384003
EXCERPT: Senior ML Software Engineer - Integration & Quality 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 looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug
---
TITLE: Principal Product Manager - Technical, EC2 Networking, EC2 Networking
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $181K-$245K
POSTED: 2026-03-25
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/10376409/principal-product-manager-technical-ec2-networking-ec2-networking
EXCERPT: Principal Product Manager - Technical, EC2 Networking, EC2 Networking Seattle, Washington, USA Amazon EC2 (Elastic Compute Cloud) networking is looking for a dynamic and seasoned product leader to help define and build the future of cloud computing for high performance computing. Customers today are rapidly evolving and looking for ways to bring gen AI to their organizations and applications. These customers rely on Amazon EC2 and its network performance to provide elastic, high performance, secure, and cost effective resources to build their infrastructure for this dynamic environment of changing business needs. Within EC2, you will work with a team that defines the strategy and roadmap for delivering this performance, scale and in many cases new features/products to customers. As a member of the broader EC2 Product Management team, you'll join other highly respected product and engineering leaders to create the future of the computing platform. You will be responsible for full lifecycle product management of compute and networking solutions that have an outsized impact on accelerating digital transformation across several customer workloads including AI/ML, core computing, databases, High Performance Computing, and more. This is a unique opportunity to innovate across all layers of the solution stack (ranging from end customer applications all the way down to the core infrastructure including the AWS custom chip Nitro). You will have strong ownership over strategy, product definition, feature prioritization, messaging, pricing, adoption, customer interaction, sales enablement, and team development. This is a high visibility and high impact role that will interact with all
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TITLE: Senior Hardware Technical Program Manager
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $180K-$230K
POSTED: 2026-03-23
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7675820003
EXCERPT: Senior Hardware Technical Program Manager 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 As a Senior Hardware Technical Program Manager at Cerebras, you will spearhead operational excellence for our high-performance AI compute systems and data centers. You will own the end-to-end hardware schedule for design and engineering improvements, report on engineering issues, and define mitigation strategies. You will own the schedule, implementation, and software integration of hardware changes. You will collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale engine supercomputers. Your role
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TITLE: Geomechanics Specialist - Computational Geomechanics / Numerical Modeling
EMPLOYER: Exxon Mobil Corporation
LOCATION: Alternate Job Posting Location | Job City/State (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.exxonmobil.com/job/Bangalore-Geomechanics-Specialist-Computational-Geomechanics-Numerical-Modeling-KA-560066/1383348900/
EXCERPT: Geomechanics Specialist - Computational Geomechanics / Numerical Modeling Alternate Job Posting Location | Job City/State Job Group Capability Subsurface, Subsea, Pipelines & Production Engineering Job Group Geoscience What role you will play in our team We are seeking a motivated and experienced Engineer or Geoscientist with strong expertise in computational modeling, solid mechanics, and finite element methods. This role will support well planning and geomechanical projects in oil & gas applications and CO2 storage, with a focus on solving complex subsurface problems through numerical modeling. What you will do Utilize numerical modeling tools and software to solve subsurface problems involving stresses, pore pressure, and deformations. Develop and implement innovative workflows, tools, and modeling approaches with minimal supervision. Integrate numerical results with experimental geomechanics or field observations to improve prediction and decision‑making. Collaborate across technical disciplines and global teams to deploy solutions into operational workflows. Deliver high‑quality technical reports and presentations to internal and external audiences. About You You bring deep technical skills, creativity, and a passion for numerical problem‑solving. Strong foundation in solid mechanics, finite‑element modeling, and constitutive behavior is essential. Excellent communication, teamwork, and project‑management abilities are expected. Work effectively with diverse, multicultural, geographically distributed teams. Skills & Qualifications Ph.D. or M.S. in Mechanical Engineering, Civil Engineering,
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TITLE: Senior Math Libraries Engineer - Sparsity in AI
EMPLOYER: NVIDIA Corporation
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Math-Libraries-Engineer---Sparsity-in-AI_JR2001319-1
EXCERPT: Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today
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TITLE: Intern, Information Technology
EMPLOYER: Constellation Brands
LOCATION: 3 Locations (unspecified)
SALARY: $20-$35/hr
POSTED: 2026-05-29
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 8 (not source-backed)
K401_MATCH: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://cbrands.wd5.myworkdayjobs.com/CBI_External_Careers/job/Rochester-New-York/Intern--Information-Technology_R-38466
EXCERPT: Intern, Information Technology 3 Locations Job Description The Intern is responsible for performing a variety of professional IT work at a growing Fortune 500 company. We are hiring in the follow areas: Information Security, Data & Analytics, Finance Resource Management, IT Governance, and Products & Solutions. Responsibilities: Working with a technical mentor, provide support to key strategic projects. Work assignments and possible responsibilities will vary according to business need and departmental opportunities, in addition to student's qualifications. Existing IT staff professionals will serve as technical mentors and will provide a valuable experience and insights for the successful intern candidate. All Interns will participate in pre-planned intern events such as Senior Leader Meetings, Goal Setting, Team Building, Tour, and Final Presentations. Provides ad hoc project work support as needed. Core Competencies to be Successful: Technical and problem-solving skills. Ability to effectively communicate and organize across levels and departments. Strong ability to concisely and logically deliver analyses and proposals. Strong initiative to seek out information and solutions. Strong follow-through skills. Qualifications: Current student in or recent graduate of a Computer Science, Engineering, Software Development Information Technology, Informatics or other STEM-related program. Ability to work independently and to exercise strong technical judgment. Interest in learning new technologies. Strong focus on quality and timely work. Excellent verbal and written communication skills. Excellent problem solving and trouble-shooting skills. ADA Physical/Mental/Workplace Requirements Occasional lifting up to 25 lbs. Sitting, working at desk/personal computer for extended periods of time. Primary work environment is within a corporate office
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TITLE: CoDesign & NextGen - New College Grad
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $145K-$155K
POSTED: 2026-01-07
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7580399003
EXCERPT: CoDesign & NextGen - New College Grad 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 Engineers in the CoDesign and NextGen organization work at the interface of software and hardware helping everything from high performance kernel design, next generation ASIC performance modeling and tuning, new system bringup and software tuning, system robustness and simulations. As an new engineer you'll be expected to learn the Cerebras products and platforms end to end starting at the base layer of programming the Wafer Scale Engine through kernel development, modeling performance for our software products and validating the work
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TITLE: Distributed Systems Cluster Security Software – Engineering Lead
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $140K-$240K
POSTED: 2025-03-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6519874003
EXCERPT: Distributed Systems Cluster Security Software – Engineering Lead 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 In this role, you will be the security czar for the Cerebras's AI cluster product. Such AI clusters have 100's of Wafer-scale accelerator systems, 1000's of high-end servers, and several 1000's of networking ports including switches. Plus, there will be network attached storage, all in a large-scale datacenter. You will ensure that Cerebras's large-scale AI clusters are secured through first-principles, best practices, security-first based engineering. Cerebras cluster involves complex HW components, networking and a vertically integrated cluster management software
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TITLE: HRBP, High Performance Computing
EMPLOYER: Renesas Electronics
LOCATION: Tokyo, Tokyo, Japan (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/RenesasElectronics/744000118298543-hrbp-high-performance-computing
EXCERPT: HRBP, High Performance Computing Tokyo, Tokyo, Japan Company Description: As one of the 4 pillars of Renesas business, High Performance Computing Product Group (HPC) is where cutting‑edge compute meets disciplined execution. The organization is focused on delivering major product roadmaps, building differentiated software and AI capabilities, and proving solutions through system‑level validation and real prototypes-often alongside open source and partners. It's a global team that values strong governance, clear accountability, and continuous improvement in methodology and ways of working. As an HRBP in HPC, you won't be “supporting from the sidelines.” You'll help build the team and operating model that makes the work possible: hiring critical skills, strengthening leadership capability, driving consistent talent actions across regions, and delivering high‑impact people initiatives from planning through execution. If you want scope, complexity, and visible business impact-this is it. Job Description: Role Summary This role is the right hand to the Global HR Business Partner for HPC and supports HPC leaders and teams worldwide. You will own global HRBP programs end‑to‑end-turning priorities into structured plans, driving execution, and ensuring outcomes land consistently across regions. This is a hands‑on role for someone who combines judgment, execution discipline, and strong business partnering. What You Will Do (Core Responsibilities) Global Hiring Governance & Execution Run the hiring operating model for HPC in partnership with Talent Acquisition and Finance (governance, tracking, approvals, and follow‑through). Drive clarity on role needs (skills, level, location), remove bottlenecks, and hold leaders/managers accountable for progress. Support decisions that require re‑sequencing, pausing, or
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TITLE: Manager, Software Image Quality, Creativity Apps
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $228K-$343K
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200646567/manager-software-image-quality-creativity-apps?team=SFTWR
EXCERPT: Manager, Software Image Quality, Creativity Apps Cupertino, United States of America The Creativity Apps team is looking for a Software Image Quality Manager to lead, mentor, and grow a team of Image Quality Engineers fostering a culture of excellence, collaboration, and continuous improvement. It requires a highly proactive individual with strong creative, technical, and analytic skills, and a passion for new technologies related to image/color science, computer vision/on-device machine learning. In this role, you will be responsible for planning, designing, maintaining, and overseeing the evaluation and validation of AI and ML models used in photo and video editing features, ensuring their accuracy, performance, and impact on image/video quality. You will collaborate closely with engineering, product, and design teams to understand feature requirements, identify potential quality risks, and help mitigate them throughout the development lifecycle. Establish and maintain objective and subjective image quality metrics and benchmarks. Champion a quality-first culture across the organization, present quality findings to product and leadership teams. Minimum Qualifications: 3+ years of experience in a managerial or leadership capacity, managing a team. 5+ years of experience in imaging, video processing, or computational photography quality. Bachelor's degree required in Computer Science, Image Processing, or a related subject area, or we may consider an equivalent industry experience. Prior experience in image quality evaluation and testing for photo and video applications. Strong understanding of digital image processing, color/image science, compression algorithms, and video codecs. Experience with AI/ML model evaluation and validation, particularly in computer vision or image manipulation contexts. Knowledge
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TITLE: Frontier Data Lead - RL Gyms
EMPLOYER: Turing
LOCATION: San Francisco, California, United States (unspecified)
SALARY: $250K-$350K
POSTED: 2026-03-09
APPLY_URL: https://job-boards.greenhouse.io/turing/jobs/5822287004
EXCERPT: Frontier Data Lead - RL Gyms San Francisco, California, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com What we do We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: - Environments for Software Engineering / coding agents - UI-Environments for Computer-Use/Browser-Use agents - MCP-based Environments for general function-calling agents across various enterprise and consumer applications. The Role We are looking for a Frontier Data Lead - RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. This is a hands-on technical leadership role where you influence revenue directly - you will
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TITLE: Quantum Applied Scientist, Center for Quantum Computing, Device Team
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-04
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/10409897/quantum-applied-scientist-center-for-quantum-computing-device-team
EXCERPT: Quantum Applied Scientist, Center for Quantum Computing, Device Team Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Device Team, focused on integration R&D for superconducting quantum processors. 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 deep expertise in the design, fabrication, and characterization of superconducting quantum devices, with a strong understanding of how materials, process integration, and device architecture impact qubit coherence and performance. Candidates with a track record of original scientific contributions in superconducting qubit coherence, thin film materials, or Josephson junction engineering will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As an Applied Scientist at CQC, you will be expected to drive integration R&D from concept through hardware demonstration and stay abreast of advances in superconducting quantum hardware. Key job responsibilities You will work at the unit cell level to integrate and evaluate new fabrication process modules and device design changes for superconducting quantum processors. This includes designing and executing experiments to assess performance impacts, investigating unexpected results through rigorous analysis and follow-on experiments, and leveraging electromagnetic and circuit-level simulations to interpret findings and connect observations to underlying physical mechanisms. You will coordinate with production
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TITLE: Business Development, Elastic Compute
EMPLOYER: Zenlayer
LOCATION: Diamond Bar, California (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://zenlayer.bamboohr.com/careers/384
EXCERPT: Business Development, Elastic Compute Diamond Bar, California Business Development, Elastic Compute
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TITLE: Mechanical Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $180K-$200K
POSTED: 2026-05-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7752149003
EXCERPT: Mechanical Engineer 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: As a Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide comprehensive support for
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TITLE: Applied Scientist, Quantum Device Packaging & Environment R&D, Device Team, AWS Center for Quantum Computing, Device Team
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-03-31
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/10379765/applied-scientist-quantum-device-packaging-environment-r-d-device-team-aws-center-for-quantum-computing-device-team
EXCERPT: Applied Scientist, Quantum Device Packaging & Environment R&D, Device Team, AWS Center for Quantum Computing, Device Team Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Device Team, focused on packaging and environmental R&D for quantum devices. 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 deep expertise in the design, modeling, and testing of packaging and off-chip environments for microelectronic or quantum devices, with a strong understanding of how packaging and environmental factors impact qubit performance at cryogenic operating conditions. Candidates with a track record of original scientific contributions in packaging, microwave engineering, or quantum cryogenic hardware will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As an applied scientist at CQC, you will be expected to drive packaging and environmental R&D from concept through hardware demonstration and stay abreast of advances in quantum hardware packaging and cryogenic measurement science. Key job responsibilities In this role, you will develop packaging and environmental R&D for superconducting quantum devices. Your responsibilities will span four interconnected areas: Packaging R&D: Design, model, and test packaging solutions for superconducting quantum devices. Build electromagnetic and mechanical models to predict and optimize packaging performance, and characterize
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TITLE: Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-18
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/10422710/applied-scientist-materials-and-process-development-aws-center-for-quantum-computing
EXCERPT: Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on materials integration and process development for superconducting quantum processors. 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 expertise in thin-film deposition, semiconductor integration processes, and materials characterization, with a strong understanding of how device topography and process sequences constrain materials integration choices. Candidates with a track record in materials integration for superconducting or semiconductor devices at wafer scale will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials integration R&D from process development through hardware demonstration and stay abreast of advances in superconducting materials and semiconductor manufacturing. Key job responsibilities You will develop and optimize materials for superconducting quantum hardware, with an emphasis on thin-film deposition processes and materials solutions that enable integration architectures for scaling qubit density. This includes establishing process-structure-property relationships for production-relevant films and interfaces, qualifying new tools and process modules, and designing integration schemes compatible with larger wafer formats. You will coordinate with cross-functional teams to translate materials advances into production, and publish results in scientific journals
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TITLE: Data Scientist, Performance and Reliability
EMPLOYER: Cursor
LOCATION: San Francisco, CA, United States, New York (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-05
APPLY_URL: https://jobs.ashbyhq.com/cursor/e46dd189-16d2-4a0f-bfb8-207eb403f92f
EXCERPT: Data Scientist, Performance and Reliability San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor is building the best way to develop software with AI. As an early member of our data science team, you'll help define the way the company uses data to make decisions and deliver a high quality experience to millions of users across billions of user<>AI interactions. What you'll do - Design and operationalize metrics that measure the stability of product surfaces and the agent harness - Build a measurement and rollout framework to prevent, detect, and root cause performance regressions - Partner with engineers on data tooling that enables self-serve analysis - Identify performance and reliability experiences that disproportionately cause user frustration You may be a fit if - You have 5+ years of experience as a data scientist at a high growth company - You've operationalized a north star performance metric across a pillar - You have experience building and operationalizing data tooling for non-data users - You enjoy working directly with engineering on measurement and strategy - You're experienced in experimentation and causal inference - You're happy to work across
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TITLE: Infrastructure Hardware Technical Program Manager (Server and Network Systems)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7636808003
EXCERPT: Infrastructure Hardware Technical Program Manager (Server and Network Systems) 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. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3-based AI clusters - from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. This role is intentionally technical: you must understand server, network, and
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TITLE: Optical Engineer
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $130K-$170K
POSTED: 2026-05-20
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5226440008
EXCERPT: Optical Engineer Boston, MA, USA Optical Engineer The Hardware Engineering Group at QuEra Computing is seeking strong candidates for an Optical Engineer to serve as an individual contributor to the company's mission of building state-of-the-art, manufacturable, and deployable neutral atom quantum computers. The Hardware Engineering Group plays a crucial role in accelerating the company's technology leadership and translating the company's scientific breakthroughs into products delivered to customers. To accomplish this mission, we are looking to hire a candidate with an undergraduate or graduate-level education in optics, optical engineering, or applied physics, paired with hands-on experience designing, building, and testing optical systems. The ideal candidate will combine a solid fundamental understanding of optics with strong laboratory skills and a desire to grow as an engineer within an enterprise engineering environment. Key Job Responsibilities - Collaborate with senior engineers and physicists to design, build, and test optical sub-systems, modules, and components supporting QuEra's neutral atom computers through the full development lifecycle (R&D, productization, maintenance, and beyond). - Execute hands-on laboratory work-assembly, alignment, cleaning, and characterization of optical systems-and contribute to engineering documentation, design reviews, and continuous improvement initiatives. - Coordinate with the R&D/science team to support cutting-edge R&D and help translate scientific advances into the next generation of products. - Assist with troubleshooting technical issues at company headquarters and, as needed, support off-site installations at customer locations (in coordination with the local support team). Qualifications - B.S. in optics, optical engineering, applied physics, or a closely related field (M.S. preferred). - 2-5
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TITLE: Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200634411/computational-photography-computer-vision-machine-learning-engineer-camera-photos?team=SFTWR
EXCERPT: Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos Cupertino, United States of America In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world. As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline. Minimum Qualifications: Strong coding skills in Python; experience in C/C++ a big plus Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques Experience with deep learning techniques for image restoration and image fusion applications
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TITLE: ML Software Tool Development Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7634141003
EXCERPT: ML Software Tool Development 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. Responsibilities: - Lead the design and implementation of system-level debugging, validation, and observability platforms. - Develop automated systems for collecting and analyzing numerical, and execution anomalies. - Create visualization and analysis tools to enable efficient root-cause investigation. - Build frameworks for failure classification, regression detection, and anomaly monitoring. - Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation. - Improve system bring-up, low-level debug, and validation workflows. - Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams. -
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TITLE: Senior Accountant
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-26
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7748840003
EXCERPT: Senior Accountant 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 Senior Operations Accountant will be a key contributor to the Finance and Operations teams, reporting to the Senior Cost Accounting Manager. This role is designed for a detail-oriented professional who excels in fast-paced environments and can derive insights from complex manufacturing and inventory data. You will support the end-to-end execution of cost accounting and fixed asset processes. Responsibilities Cost Capitalization & Inventory Accounting - Execute monthly inventory reconciliations and post all related journal entries. - Perform calculations for inventory rebates, wafer manufacturing yield losses,
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TITLE: Sr. Technical Staff
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $250K-$275K
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728797003
EXCERPT: Sr. 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. Technical Staff. Title: Sr. Technical Staff Job Duties: - Post silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon. - Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality. - Work with the silicon and operations team to test, bring-up and run burn-in on wafers scale systems. - Support manufacturing operations to utilize the wafer bring up flow. Perform wafer
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TITLE: Quantitative Developer - C++
EMPLOYER: Qube Research & Technologies
LOCATION: Paris (unspecified)
SALARY: Not disclosed
POSTED: 2024-09-20
APPLY_URL: https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/7649237002
EXCERPT: Quantitative Developer - C++ Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. A trading desk is successful thanks to the mix of the following three internal teams: - Quant Traders: who are having strong knowledge about finance and trading - Quant Researchers: who are mathematicians - Quant Devs: who are strong in tech and computer science Your future role within QRT: - You will be working within a trading desk which means that your contribution will have a direct and immediate impact on the desk's success - Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders. - A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing) - Opportunities to solve hard technical challenges critical to the desk's success Your present skill set: - Expertise in modern C++, with strong hands-on development experience - Deep understanding of system-level fundamentals, including CPU, memory, operating systems, and networking - Strong analytical mindset and genuine motivation
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TITLE: Account Executive, AWS Nonprofits – Research Institutes, Nonprofits Research
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $92K-$160K
POSTED: 2026-05-06
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/10412554/account-executive-aws-nonprofits-research-institutes-nonprofits-research
EXCERPT: Account Executive, AWS Nonprofits – Research Institutes, Nonprofits Research Seattle, Washington, USA Would you like to own driving revenue and customer engagements for a leader in the Cloud Computing business? Would you like to be part of a rapidly growing team focused on increasing adoption of Amazon Web Services (AWS) by engaging with nonprofit research organizations, specifically those working in Life Sciences/Genomics, Healthcare, Social/academic policy, Environmental or Applied Sciences Research? Nonprofit research organizations are rapidly adopting AWS as part of their mission impacting IT strategies. They are quickly recognizing the value of AWS by reducing capital expenditures and driving efficiencies, thereby allowing them to put money back into their missions. Do you have the sales experience, technical background and customer relationships to help further establish AWS as a leading cloud platform provider to this important customer base? As an Account Executive with AWS focusing on the nonprofit market, you will have the exciting opportunity to help shape and deliver on a strategy that focuses on customer success, building mind share and driving broad use of Amazon's utility computing services to support their mission. The ideal candidate will have sales and/or consulting experience within this market, a strong understanding of segment-specific challenges, strong relationships within the customer base and the consulting community that serves this market. The Account Executive will be a strong analytical thinker who thrives in fast-paced dynamic environments, has a strong technical interest, and a passion for nonprofits. They should be a self-starter who is prepared to develop
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TITLE: Senior Mechanical Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $190K-$230K
POSTED: 2026-01-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7522557003
EXCERPT: Senior Mechanical Engineer 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 Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide
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TITLE: Senior Executive - Coding Auditor
EMPLOYER: EXL Service
LOCATION: Chennai, Tamil Nadu, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/requisitions/job/13340
EXCERPT: Senior Executive - Coding Auditor Chennai, Tamil Nadu, India Senior executive Surgery Coder : Mandatory 3+ Years of experience After Certification. Surgery Coder with 3+ years of multi-specialty outpatient surgery coding experience, including IVR and General Surgery. The role requires CPC certification, strong knowledge of injections/infusions, and familiarity with APC facility coding. Candidates must possess strong communication skills, computer proficiency, and be willing to attend mandatory in-office training.
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TITLE: Systems Software Engineer (C++)
EMPLOYER: Thunder Compute
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9da3-72694813f608
EXCERPT: Systems Software Engineer (C++) San Francisco | OnSite COMPANY Thunder Compute is the lowest cost, easiest GPU cloud for developers. We're a 4-person team with $4.5M raised from top tier investors including Y Combinator and Matrix Partners. There are two parts to our company. 1) we are a cloud platform where customers can rent GPUs just like they would from Coreweave, Lambda, AWS, etc., and 2) we are building systems software to use GPUs more efficiently than these competitors. ROLE Your work will focus on core C++ systems development: performance optimization, systems debugging, and research. You will spend your days bouncing between the weeds of complex, performance-critical systems in a production, customer-facing environment. This work is not easy - but if you're the right candidate, this is a feature, not a bug. CORE TECHNICAL SKILLS: - Top 0.1% C++ ability - Experience optimizing NIC/GPU performance - Deep understanding of low-level networking, compilers, and similar systems - Experience in latency-sensitive environments MUST HAVES: - You've got the dog in you: you will own your work and be responsible for production systems from day 1 - High speed-to-output - Willingness to assume a senior leadership role as we scale - Strong communication skills under pressure PREFERRED: - CS Bachelor's degree from top 50 US university, 3.5+ GPA - 1+ year of experience at a trading firm (Citadel, Jane Street, etc.), hardware company (NVIDIA, SambaNova), systems research or similar LOGISTICS - You'll report to Co-founder/CTO Brian (ex-Citadel quant dev) - This role is
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TITLE: Physical Design Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $230K-$280K
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7764007003
EXCERPT: Physical Design Engineer 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 member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert at
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TITLE: Machine Learning Engineer – Computer Vision & Data Systems
EMPLOYER: Apple
LOCATION: Sunnyvale, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2025-12-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200636382/machine-learning-engineer-computer-vision-data-systems?team=MLAI
EXCERPT: Machine Learning Engineer – Computer Vision & Data Systems Sunnyvale, United States of America At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy. We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. As a Machine Learning Engineer, you will: - Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities. - Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition. - Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems. - Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations. Minimum Qualifications: Strong foundation in computer vision, including experience with deep learning-based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. Hands-on experience developing machine learning models using frameworks such as
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TITLE: Staff Cloud Infrastructure, Scientific Computer Engineer
EMPLOYER: Revolution Medicines
LOCATION: Redwood City, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.revmed.com/careers-list/?gh_jid=7721641003
EXCERPT: Staff Cloud Infrastructure, Scientific Computer Engineer 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: We are seeking a Staff Cloud Infrastructure, Scientific Computer Engineer to help build, operate, and improve the infrastructure foundations that support computational science, data engineering, analytics, and enterprise business operations across RevMed. This role will partner with scientific, G&A, data, security, and IT stakeholders to deliver reliable, secure, scalable compute and platform services. The ideal candidate brings deep infrastructure experience, strong operational judgment, and the ability to translate scientific and business computing needs into practical, reusable platform patterns. What You'll Do: - Design, operate, and improve secure cloud infrastructure for R&D and scientific computing workloads. - Build reusable infrastructure patterns for compute, storage, networking, identity, secrets management, and observability. - Use Infrastructure as Code, primarily Terraform, to standardize provisioning and change management. - Support high-throughput and scientific compute environments, including HPC and scheduler-based workloads. - Enable reproducible compute patterns using Linux,
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TITLE: QA Lead (ML Integration and Quality)
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647324003
EXCERPT: QA Lead (ML Integration and Quality) 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 an ML QA Lead, you ensure quality of Cerebras SW across all supported ML workloads and workflows. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature testing, ML training accuracy and performance, pre deployment/production validation, validating customer workloads and workflows. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. Responsibilities - Drive quality of various
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TITLE: Distributed Software Engineer
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7582638003
EXCERPT: Distributed Software Engineer Bengaluru, Karnataka, India; 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 Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster. Responsibilities - Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches. - Additional push button
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TITLE: Desktop Analyst/Helpdesk Technician
EMPLOYER: Quantum Si Inc
LOCATION: Centennial, CO (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-26
APPLY_URL: https://recruiting2.ultipro.com/QUA1014QUAM/JobBoard/ca0ab154-0d7f-47e3-af84-cd9bd79768dc/OpportunityDetail?opportunityId=180bfc2f-6161-4ea9-8338-2bbd11a7f890
EXCERPT: Desktop Analyst/Helpdesk Technician Centennial, CO The Desktop Support / Helpdesk Technician provides technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. This role requires strong troubleshooting skills, excellent customer service, and the ability to work in a fast-paced environment.
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TITLE: Commercial Lines Administrator
EMPLOYER: Hub International Limited
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hubinternational.wd1.myworkdayjobs.com/HUBInternational/job/Commercial-Lines-Administrator_R0033357/apply
EXCERPT: Commercial Lines Administrator Embrace the opportunity to become a Commercial Lines Administrator and play a key role in managing policy documentation and supporting branch operations. If you have strong computer skills, attention to detail, and experience with commercial insurance systems, this is your opportunity to grow your career in a dynamic, client-focused environment.
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TITLE: Senior AI Engineer
EMPLOYER: Quantum Computing
LOCATION: London (hybrid) (hybrid)
SALARY: Not disclosed
POSTED: 2026-06-12
APPLY_URL: https://jobs.ashbyhq.com/quantum/e42d30b8-6b00-403e-9dcc-3eb313edf54b
EXCERPT: Senior AI Engineer London (hybrid)
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TITLE: Mgr, Software Engineering
EMPLOYER: Renesas Electronics
LOCATION: Austin, TEXAS, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/RenesasElectronics/744000121892787-mgr-software-engineering
EXCERPT: Mgr, Software Engineering Austin, TEXAS, United States Company Description: Job Description: We are seeking a Software Engineering Manager Responsibilities Lead and mentor a team of talented Software Engineers, supporting their execution, growth, and career development Gather and drive clarity on software requirements from diverse groups including customers, application engineers, hardware, and firmware engineers Provide technical leadership and contribute hands‑on when needed to offload the team Drive execution, resource planning, and prioritization in a fast-paced and evolving environment Remove blockers, improve processes, and champion the team across the organization Qualifications: 10 years of software engineering work experience, including 2+ years of experience managing a team BS/MS in Computer Science, Computer Engineering, or related field Proficient programming skills in Java/Kotlin and Python Solid understanding of software systems and development practices using CI/CD Excellent organizational skills with attention to detail Strong written and verbal communications skills Preferred Qualifications Experience with JavaFX or GUI development very strongly preferred Experience with basic electronics, microcontroller programming and bus communications strongly preferred Experience with DevOps including JIRA, GitLab, and Confluence preferred Familiarity with DC-DC buck converter concepts and applications preferred Additional Information: Renesas is an embedded semiconductor solution provider driven by its Purpose ' To Make Our Lives Easier .' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and
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TITLE: Lead ML Engineer / Data Scientist
EMPLOYER: Hilbert
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-26
APPLY_URL: https://jobs.ashbyhq.com/hilberts/88c7d6f6-fe64-4526-b885-a607858c0211
EXCERPT: Lead ML Engineer / Data Scientist San Francisco, California, United States Hilbert is building the ML systems that power demand intelligence for the world's largest consumer companies - recommendation engines, demand forecasting, customer lifecycle models, and activation systems that must work across wildly different retailers, data environments, and business contexts. This isn't single-tenant model building; it's designing configurable, production-grade ML architectures that generalize across Fortune 500 enterprises and beloved consumer brands alike. We're looking for a Lead ML Engineer who thinks in systems, understands B2C business problems deeply, and can build the models and pipelines that power real growth outcomes - all with the ownership and urgency of a founder. This is not a "build a model in a notebook and hand it off" role. You'll own the entire ML function - from problem framing through model development through production deployment through business impact - and you'll do it for enterprise customers where the stakes are real and the feedback loop is tight. If you understand why a recommender system matters to a retailer's P&L, can design a configurable ML system that works across customers without being rebuilt from scratch, and can explain causal impact to a room of executives with clarity and conviction, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and
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TITLE: ML Engineer / Data Scientist - Core
EMPLOYER: Hilbert
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-26
APPLY_URL: https://jobs.ashbyhq.com/hilberts/015867f6-c583-44ef-9915-44b1a58baab6
EXCERPT: ML Engineer / Data Scientist - Core San Francisco, California, United States Hilbert is building the ML systems that power demand intelligence for the world's largest consumer companies - recommendation engines, demand forecasting, customer lifecycle models, and activation systems that must work across wildly different retailers, data environments, and business contexts. This isn't single-tenant model building; it's designing configurable, production-grade ML systems that generalize across Fortune 500 enterprises and beloved consumer brands alike. We're looking for an ML Engineer who understands B2C business problems deeply, builds models and pipelines that work with real-world data, and delivers systems that drive real growth outcomes - all with the ownership and urgency of a startup. This is not a "receive a ticket, train a model, hand off a notebook" role. You'll own problems end-to-end - from framing through modeling through production deployment through impact - for enterprise customers where the stakes are real and the feedback loop is tight. If you understand why churn analysis matters differently for a grocery retailer versus a fashion marketplace, can build a recommendation system that works with sparse data and runs reliably in production, and can walk a customer through your causal analysis with clarity and conviction, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and e-commerce. We're scaling fast
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TITLE: C++ Quantitative Developer, Algorithmic Execution
EMPLOYER: WorldQuant
LOCATION: New York (unspecified)
SALARY: $160K-$200K
POSTED: 2025-05-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/worldquant/jobs/4559626006
EXCERPT: C++ Quantitative Developer, Algorithmic Execution New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution Services team is seeking an Execution Algorithm Developer to further improve the architecture of WorldQuant's execution platform across a variety of cash and derivative products. You will be responsible for leading, building and maintaining the algorithm and SOR frameworks, including the short-term predictive models that drive our investment process on our innovative infrastructure with the goal of optimizing trading efficiency. What You'll Bring: - Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming - Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution,
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TITLE: Senior Applied Scientist (Computer Vision), Camera and Sensors
EMPLOYER: Amazon
LOCATION: Cambridge, England, GBR (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/10429601/senior-applied-scientist-computer-vision-camera-and-sensors
EXCERPT: Senior Applied Scientist (Computer Vision), Camera and Sensors Cambridge, England, GBR The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. Basic Qualifications: - Experience with neural deep learning methods and machine learning
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TITLE: Design Validation Test - Lead/Principal Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$275K
POSTED: 2026-03-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7652064003
EXCERPT: Design Validation Test - Lead/Principal Engineer 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. Role Summary We are seeking a hands‑on DVT Technical Lead (Individual Contributor) to own and drive the Design Validation Test (DVT) process end‑to‑end across complex electrical engineering boards and full systems. You will define validation strategy, build test plans and infrastructure, lead deep debug and root‑cause analysis (RCA), and drive closure through design changes and re‑test. The domain includes difficult power delivery technology, fast high‑speed I/O, and electro‑mechanical systems with thermal, optics, and high‑power constraints. People management is not required (mentoring is a plus).
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TITLE: Computer Vision and Inertial Sensing Engineer
EMPLOYER: Apple
LOCATION: Sunnyvale, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2025-08-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200616147/computer-vision-and-inertial-sensing-engineer?team=MLAI
EXCERPT: Computer Vision and Inertial Sensing Engineer Sunnyvale, United States of America The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundaries of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world. You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple's best-in-class designers to ensure the products we ship are more than technical demos - they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Strong software engineering skills and programming in C++. Familiarity with classical and machine learning based computer vision. Preferred Qualifications: MS or PhD in computer vision, machine learning, robotics,
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TITLE: Senior DL Algorithms Engineer - Inference Performance
EMPLOYER: NVIDIA Corporation
LOCATION: 2 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-DL-Algorithms-Engineer---Inference-Performance_JR2017176
EXCERPT: Senior DL Algorithms Engineer - Inference Performance 2 Locations posted: Posted 30+ Days Ago
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TITLE: Computational Scientist II
EMPLOYER: Myriad Genetics INC
LOCATION: United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-13
PARENTAL_LEAVE_WEEKS: 2 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 2 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://ekgn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/6080
EXCERPT: Computational Scientist II United States Overview The Computational Scientist II envisions, designs, builds, validates, and launches new genomic products and product features that directly improve patients' lives. Responsibility Author optimized and reliable analysis pipelines applied to samples. Rigorously analyze a variety of big datasets to gain actionable insights launched into the lab. Amplify the productivity of the entire R&D team by creating time-saving software tools and environments. Work on collaborative teams with experimental scientists, software engineers, automation engineers, and data scientists. Communicate results internally to key stakeholders and externally at conferences and in peer-reviewed literature. Qualifications PhD (or master's degree with relevant experience) in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required. Conversant in molecular biology and genetics. Exceptional software skills, preferably with fluency in Python. Impeccable integrity and palpable drive, with the competency to be self-sufficient and a strong desire to be part of a supportive team. Experience with Next Generation Sequencing preferred. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 Computational Scientist II
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TITLE: Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-19
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/10423332/applied-scientist-materials-characterization-and-simulations-amazon-center-for-quantum-computing
EXCERPT: Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on understanding and mitigating materials-driven loss mechanisms in superconducting quantum processors. 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 deep expertise in materials characterization and computational modeling of disordered solids, with the ability to connect atomic-scale insights to materials design. Candidates with a track record of original scientific contributions in experimental and computational studies of materials defects will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials research from characterization through design recommendations and stay abreast of advances in materials science for superconducting quantum hardware. Key job responsibilities You will combine materials characterization and numerical simulations to investigate how material defects affect qubit performance. This includes implementing multi-technique characterization workflows for thin films and interfaces, providing input on the design of materials with targeted properties, and developing computational tools for simulations of disordered structures. You will provide characterization support for the Fabrication team, investigating materials sources of loss in production-relevant films and processes. You will coordinate with cross-functional teams to translate materials insights into actionable
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TITLE: Senior ML Systems Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale CA or Toronto Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7622330003
EXCERPT: Senior ML Systems 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 versatile and experienced engineer to join our SOTA Training Platform 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
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TITLE: Manufacturing Bring-up Engineer L2
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, Canada (unspecified)
SALARY: $170K-$230K
POSTED: 2026-03-02
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628218003
EXCERPT: Manufacturing Bring-up Engineer L2 Bengaluru, Karnataka, India; 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. The Role We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. Responsibilities - Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer
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TITLE: Optical Scientist - R&D
EMPLOYER: QuEra Computing
LOCATION: Boston, MA USA (unspecified)
SALARY: $130K-$212K
POSTED: 2026-05-28
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5233811008
EXCERPT: Optical Scientist - R&D Boston, MA USA Summary QuEra Computing is pioneering the future of quantum computing technology. We are seeking an Optical Scientist to join our growing team and help create the world's largest and first commercially relevant quantum computing platform. You will work closely with a world-class team of scientists, engineers, and developers to build and advance the most powerful neutral-atom quantum computers in the world. This is a hands-on experimental role at the intersection of atomic, molecular, and optical (AMO) physics and cutting-edge quantum hardware development. Responsibilities - Design, prototype, and deploy opto-mechanical systems for next-generation quantum computing platforms, with a focus on hands-on experimental implementation in a lab environment. - Characterize, optimize, and troubleshoot precision laser and imaging optical systems, ensuring performance meets the demanding requirements of neutral-atom quantum processors. - Improve the performance, and operability of existing proof-of-concept quantum computing machines. - Collaborate with scientists and engineers across disciplines to develop and refine new experimental concepts and optical architectures. - Contribute to the development of experimental procedures, documentation, and best practices to support reliable and repeatable system performance. Qualifications - Ph.D. in Atomic, Molecular, and Optical (AMO) Physics or a closely related field. - 3-6 years of hands-on experimental experience in precision optical systems, opto-mechanical design, or laser systems, including industry or postdoctoral experience. - Strong practical skills with precision laser systems, optical components, and imaging systems in a lab setting. - A collaborative mindset and enthusiasm for working in highly interdisciplinary teams. Preferred Qualifications
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TITLE: Founding Research Engineer, AI-Driven Compilation
EMPLOYER: SF Tensor
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/sf-tensor/8aab8d9d-de8e-4d36-a2c3-7c9e18903965
EXCERPT: Founding Research Engineer, AI-Driven Compilation San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're building a next-generation AI compiler that uses machine learning to optimize machine learning. As a Founding Research Engineer focused on AI-driven compilation, you'll develop the agentic and reinforcement learning systems that guide our compiler's optimization decisions. This is a research-heavy role right at the intersection of compilers and ML. You'll design learned systems that can explore huge optimization spaces, discover new code transformations, and keep improving compilation quality over time. WHAT YOU'LL DO -
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TITLE: IT Specialist
EMPLOYER: Transmit Security
LOCATION: Tel Aviv-Yafo, Gush Dan, Israel (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-03
APPLY_URL: https://www.transmitsecurity.com/about/careers/job?gh_jid=8533931002
EXCERPT: IT Specialist Tel Aviv-Yafo, Gush Dan, Israel We offer the industry's only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: The IT Specialist is responsible for analyzing, diagnosing, and repairing end user issues pertaining to their daily job duties. Managing and resolving service request tickets on a daily basis. This individual is responsible for providing high quality technical assistance and support related to the company's computer systems, software, and hardware. This position is directly responsible for interaction with end users and their machines on a daily basis. What you'll do: - Assisting employees (end users) with the MacOS desktop systems - Strong knowledge of Windows / macOS environments - Initial IT orientation of new employees during their “sign-in” process - Providing computer support services for software and hardware within established company standards and guidelines - Testing of computers to ensure all computer systems are functioning properly - Identifying and solving any problems that affect computer operating systems - Communicating effectively with the individual end users on issues that pertain to their machines - Maintenance and upgrading of computer systems , including offering recommendations on upgrades on an as-needed basis - Assistance in implementing IT related company initiatives as provided by IT leadership - Maintaining computer peripheral devices such as printers and scanners and solving the related
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TITLE: Member of Technical Staff (Software Engineer)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $170K-$175K
POSTED: 2026-05-08
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728798003
EXCERPT: Member of Technical Staff (Software Engineer) 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 Member of Technical Staff (Software Engineer) Title : Member of Technical Staff (Software Engineer) Job Duties - Implement infrastructure to support high-performance, low-latency inference service. - Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads. - Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs. - Integrate inference services with containerized environments using Docker and Kubernetes for orchestration. - Ensure high availability and fault tolerance by implementing
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TITLE: Optical Scientist – Quantum Systems
EMPLOYER: QuEra Computing
LOCATION: Boston, MA USA (unspecified)
SALARY: $130K-$212K
POSTED: 2026-03-14
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5154277008
EXCERPT: Optical Scientist – Quantum Systems Boston, MA USA Summary In this role, you will contribute to the advancement of neutral-atom-based quantum computing technologies by architecting , prototyping and integrating optical subsystems into QuEra's next-generation quantum computers . These subsystems rely on diffractive optics, holography, optical tiling strategies, aberration correction, and camera-in-loop feedback to deliver stable, uniform, and precisely controlled optical fields across large qubit arrays . As part of an R&D team , you will collaborate closely with a multidisciplinary group of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms by helping shape long-term optical system design decisions . Responsibilities - Design and prototype scalable optical architectures for trapping, addressing, and readout of next-generation neutral atom qubit arrays. - Model optical systems including diffraction, aberrations, polarization effects, and alignment sensitivities. - Establish integration strategies of new optical modules to optimize performance of neutral atom quantum computers. - Implement diagnostic and calibration strategies linking optical design to experimental outcomes, enabling rapid commissioning and long-term stability. - Partner with hardware engineering team to translate architectural concepts into deployable hardware and alignment procedures. - Evaluate emerging beam-shaping and multiplexing technologies for next-generation scalability. - Stay current with the latest advancements in optical engineering, beam shaping, and optical computing relevant to neutral atom quantum computing. Qualifications - Ph.D. or equivalent experience in Optics, Physics, or a related field with a strong background in optical system design and implementation. - Hands-on laboratory experience with free-space optical alignment, diagnostics,
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TITLE: Coordinator Data Process Support
EMPLOYER: Unisys CORP
LOCATION: Ipil, Philippines (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-31
K401_MATCH: yes (not source-backed)
APPLY_URL: https://unisys.wd5.myworkdayjobs.com/External/job/Ipil-Philippines/Coordinator-Data-Process-Support_REQ571917
EXCERPT: Coordinator Data Process Support Ipil, Philippines What success looks like in this role: • Gathers data for various reports required by accounting and management or for engineering/scientific applications • Compiles programs for programmers as required. • Organizes the input and output of data from the computer. • Investigates and locates source of non-standard irregularities; analyze and recover program operations in complex error situations. • Assists in the maintenance and inventory control of computer equipment. • Complies with computer operation standards and procedures. • Provides point-of contact for computer users and informal training to new account users. You will be successful in this role if you have: • Minimum educational requirement highschool or senior highschool graduate • Equivalent of 6 months to 1 year experience in the operation of key data entry/verifier machines such experience may be in a trainee capacity • With 0 to 6 months experience in customer service • Knowledge of Word processing software, Spreadsheet software, Database software • Proficient in data entry with a high level of accuracy and attention to detail • Demonstrated ability to learn and utilize technical information and procedures • Strong verbal and written communication skills • Ability to learn, retain, and apply information quickly in a changing production environment • Demonstrated time management, organization and prioritization skills • Ability to work independently and as a member of a team • Ability to read and write at a level appropriate to the duties of the position, and perform arithmetic computations where required. •
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TITLE: Head of Supercomputing
EMPLOYER: Etched
LOCATION: San Jose, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-26
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/etched/fb76e6e8-d07a-4830-b88e-ca8c1483f801
EXCERPT: Head of Supercomputing San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is building at-scale AI inference supercomputers powered by our custom ASICs, and the Supercomputing organization is responsible for making them real, deployable, and reliable. We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and operational model for Etched's cluster-scale AI compute systems. This leader will own the end-to-end system software and control-plane strategy - spanning orchestration, telemetry, provisioning, networking, and fleet reliability - from first silicon through production deployment. This role combines deep systems expertise with strong organizational leadership. You will build and lead a world-class team, partnering closely with ASIC, hardware, kernel, runtime, and infrastructure teams to deliver the highest-performance AI inference systems in the world. Key Responsibilities - Define and drive the technical vision and roadmap for Etched's Supercomputing software stack, from node bring-up to multi-rack clusters - Build, scale, and lead a high-performance Supercomputing organization - Directly manage and develop 15+ engineers with a variety of experience levels -
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TITLE: Data Entry Clerk
EMPLOYER: Westinghouse Electric Corporation
LOCATION: Boston, MA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/CBSCORPORATION/743999689195265-data-entry-clerk
EXCERPT: Data Entry Clerk Boston, MA, United States Company Description: Job Description: This is a contract position with a slight possibility of becoming permanent Candidates will be required to pass a data-entry speed test to be considered. Must be able to pass drug and background check. TASKS AND RESPONSIBILITIES: Review corporate contracts; Accurately identify contract terms, including year of execution, parties, corporate entities, etc.; Enter contract terms into master tracking matrices; Scan and catalogue hardcopies of contracts to create electronic copies as needed; and Other duties as assigned. OTHER RESPONSIBILITIES: Data entry and verification including both alphanumeric and 10-key entry Create mail address endorsements Compose emails to clients Advise Supervisor and/or Manager of missing contracts, missing signatures, incomplete documents, etc.; and Track productivity and number of completed contracts. Qualifications: High school diploma; Strong oral, written, and interpersonal communication skills; “Tech-savvy” with strong computer skills, including ability to navigate Windows-based PCs; Understanding of basic Microsoft office applications; Basic to intermediate skills in Microsoft Excel, including ability to navigate, filter, sort, and accurately add entries to spreadsheets. Additional Information: All your information will be kept KNOWLEDGE/SKILLS/ABILITIES: Ability to self-manage and work independently on completion of training; Ability to communicate effectively through electronic means including IM, web-based meetings, and telephone; Fast learner; Strong computer skills, including Microsoft office suite (Outlook, Word, Excel); Strong ethics, integrity, and accountability; Strong organizational skills and attention to detail; and Ability to work quickly and accurately. None. TRAVEL: Standard office environment. confidential according to EEO guidelines. Benefits: Health, Dental,
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TITLE: IT SRE Team Lead
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7629636003
EXCERPT: IT SRE Team Lead 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 seeking an experienced IT SRE Team Lead to build and run the reliability function for Cerebras' internal technology estate. The IT SRE Team Lead will be responsible for the availability, performance, and operational quality of the systems Cerebras employees rely on every day, including identity, endpoint management, collaboration, SaaS, and internal networking. The right candidate will bring a software engineering mindset to IT operations, treating corporate infrastructure as code, with measurable SLOs, automated remediation, and a ruthless focus on eliminating toil.
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TITLE: Full-Stack Software Engineer, Compute Foundations
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: $230K-$347K
POSTED: 2026-05-26
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/1312f55e-ff56-4dab-9bf7-a91e2c157572
EXCERPT: Full-Stack Software Engineer, Compute Foundations San Francisco, California, United States About the Team The Frontier Clusters team at OpenAI builds, launches, and supports the largest supercomputers in the world! Our mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably. That means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable. About the Role You will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem? You will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale. This is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world's largest supercomputers into clear, reliable, and scalable systems. In this role, you will: - Build full-stack web applications that help researchers and operators understand cluster
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TITLE: Quantum Calibration Engineer, Quantum Computing Services
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $120K-$180K
POSTED: 2025-10-20
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4960421008
EXCERPT: Quantum Calibration Engineer, Quantum Computing Services Boston, MA, USA Quantum Calibration Engineer, Quantum Computing Services Summary: QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra's neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra's quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms. In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra's global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization. This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services. Core Responsibilities - Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights. - Develop, refine, and maintain calibration pipelines consisting of complex data flows. - Develop robust data-fitting and optimization routines. - Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments. Qualifications Required - Strong proficiency in Python, including experience
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TITLE: 3D Physical Design Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $150K-$270K
POSTED: 2025-04-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6538655003
EXCERPT: 3D Physical Design Engineer 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 member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert
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TITLE: Personal Insurance Administrator
EMPLOYER: Hub International Limited
LOCATION: Winnipeg, Manitoba, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hubinternational.wd1.myworkdayjobs.com/HUBInternational/job/Winnipeg-MB/Personal-Insurance-Administrator_R0036875/apply
EXCERPT: Personal Insurance Administrator Winnipeg, Manitoba, Canada Embrace the role of a Personal Insurance Administrator and play a key role in managing policy documentation and supporting clients. If you have strong attention to detail, advanced computer skills, and a passion for client service, this is your opportunity to grow in a dynamic, supportive environment. Apply now to make an impact!
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TITLE: Principal Machine Learning Engineer, Accelerated Apache Spark
EMPLOYER: NVIDIA Corporation
LOCATION: US, CA, Santa Clara (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-21
K401_MATCH: yes (not source-backed)
APPLY_URL: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Machine-Learning-Engineer--Accelerated-Apache-Spark_JR2018591
EXCERPT: Principal Machine Learning Engineer, Accelerated Apache Spark US, CA, Santa Clara posted: Posted 22 Days Ago
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TITLE: Quantum Scientist - AMO Theory and Device Modeling
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $130K-$212K
POSTED: 2026-03-10
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/5128148008
EXCERPT: Quantum Scientist - AMO Theory and Device Modeling Boston, MA, USA Summary QuEra Computing is seeking a talented and innovative theorist with a strong background in theoretical atomic, molecular, and optical (AMO) physics and quantum information science to support the modeling and architecture development of our digital neutral-atom quantum computers. In this role, you will develop detailed physics-based models of key sub-components that constitute a neutral atom quantum computer, to characterize and enhance their performance. You will work closely with experimental teams to validate and refine models, define technical requirements and operating regimes, and guide experimental progress. You will also collaborate with compiler, applications, and QEC teams to ensure that low-level control abstractions and interfaces are aligned with algorithmic and architectural requirements. You will be expected to independently drive modeling efforts and translate theoretical insights into concrete guidance for experiments and architecture decisions. Qualifications - PhD in theoretical atomic, molecular, and optical (AMO) physics or a closely related field. - Experience modeling AMO experiments, including realistic multi-level atomic structure calculations, light-matter interactions, and Rydberg physics. - Demonstrated ability to collaborate productively with experimental AMO or quantum hardware groups. - Strong publication record in AMO physics or other relevant areas of quantum science. - Basic knowledge of quantum error correction methods and quantum algorithms. - Proficiency in Python and/or Julia for scientific modeling and simulation. Preferred Qualifications - Experience modeling noise sources, imperfections, and decoherence in neutral-atom platforms. - Hands-on experience with open quantum systems simulations. - Experience with pulse-level control,
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TITLE: Cubist Quantitative Developer
EMPLOYER: Point72 Asset Management
LOCATION: Hong Kong (unspecified)
SALARY: Not disclosed
POSTED: 2024-11-04
APPLY_URL: https://boards.greenhouse.io/point72/jobs/7666604002?gh_jid=7666604002
EXCERPT: Cubist Quantitative Developer Hong Kong ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio-maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment. RESPONSIBILITIES - Designing, implementing, and maintaining research and production pipeline-including data processing, model building, back-testing, and live monitoring toolkits. - Performance optimization in both research and production environments. - Troubleshooting and resolving production issues. REQUIREMENTS - Bachelor's degree or higher in computer science or other quantitative discipline. - 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team. - Advanced proficiency in Python and its ecosystem. - Fast learner, strong passion for technology, and keen to explore the latest technological advancements. - Experience in software architecture and engineering is a plus. - Experience in distributed computing is a plus. - Strong quantitative skills and knowledge in statistics and linear algebra is a plus. - Commitment to the highest ethical standards.
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TITLE: Principal Machine Learning Engineer-Gen AI, Machine Learning, Graph ML (10189)
EMPLOYER: Extreme Networks Inc
LOCATION: San Jose, California, United States (unspecified)
SALARY: $170K-$240K
POSTED: 2026-03-04
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.lever.co/extremenetworks/f99032c4-6048-484d-b93e-f8dfbb62aa19
EXCERPT: Principal Machine Learning Engineer-Gen AI, Machine Learning, Graph ML (10189) San Jose, California, United States Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph ML Position type: Full time Location: Seattle, WA / San Jose, CA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: Applicants must have legal authorization to work in the country where the role will be performed. Scope: Our AI
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TITLE: Product Manager, AI Platform & Performance
EMPLOYER: Sigma Computing
LOCATION: San Francisco, CA (unspecified)
SALARY: $180K-$220K
POSTED: 2026-06-10
APPLY_URL: https://job-boards.greenhouse.io/sigmacomputing/jobs/7767898003
EXCERPT: Product Manager, AI Platform & Performance San Francisco, CA About the role Every Sigma experience - every query, every workbook, every agent interaction - runs on a platform that has to be fast, observable, and reliable at enterprise scale. As PM for AI Platform and Performance, you'll own the foundational capabilities that make that possible: query execution, compute and caching, metadata services, compiler components, agent infrastructure, platform observability, and data connectors. This role is for a technically strong PM who can move comfortably between infrastructure tradeoffs and customer conversations - and who gets energy from both. What you'll do - Own the roadmap for how Sigma's AI platform scales - compute, observability, connectors, and the query infrastructure that powers it all. - Partner closely with enterprise customers to understand performance pain points and translate them into platform improvements. - Work with engineering to ship meaningful gains in latency, throughput, reliability, and cost efficiency. - Build the observability and agent monitoring capabilities that give customers and internal teams real visibility into how their workloads run. - Make active prioritization calls across a wide surface area, with clear reasoning behind every tradeoff. What we're looking for - 5+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products - A track record of owning and delivering a product roadmap end-to-end across technically complex areas - Strong working knowledge of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure - Experience with observability tooling, agent monitoring, or
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TITLE: System Software Engineer (Embedded)
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$275K
POSTED: 2026-02-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628229003
EXCERPT: System Software Engineer (Embedded) 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 As part of the Embedded Software team, you will help build the critical software foundation that powers the Cerebras Wafer Scale Engine (WSE)-the world's largest AI processor. Our team owns a diverse range of embedded and system level components that enable the WSE to operate reliably at scale, including microcontroller firmware, wafer level monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly. This role exists at the intersection of embedded systems, platform engineering, and
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TITLE: Quantitative Trading Associate
EMPLOYER: Schonfeld Strategic Advisors
LOCATION: Hong Kong, Hong Kong (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-06
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/schonfeld/jobs/7517021
EXCERPT: Quantitative Trading Associate Hong Kong, Hong Kong The Role We are seeking a highly motivated individual with strong data or computer science skills to support and enhance our quantitative trading operations. The role combines real-time trading oversight, process automation, and cross-team collaboration, with room to grow into supervisory responsibilities in a regulated environment. Key Responsibilities - Oversee quantitative trading activity during market hours, monitoring strategy performance, execution quality, and key risk or control thresholds. - Maintain and enhance monitoring tools, dashboards, alerts, and operational runbooks to support safe, scalable trading operations. - Coordinate and lead incident response, trade and position reconciliations, and issue resolution with internal teams and external counterparties. - Support portfolio operations (including rebalancing and inventory or constraint management) using data-driven and automated workflows. - Develop a strong understanding of market structure, broker services, and trading platforms, and collaborate with portfolio managers, engineers, and other stakeholders to turn recurring operational issues into durable process and system improvements. Required Skills & Qualifications - Bachelor's, Master's, or PhD degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related quantitative field. - 3+ years of relevant experience in the financial industry. - Strong analytical and problem-solving skills with a data-driven mindset. - Proficiency in Python and familiarity with Linux-based environments. - High attention to detail, strong communication skills, and the ability to operate in a fast-paced environment. - Interest in taking on increasing levels of oversight and supervisory responsibility in a regulated trading environment. Who We Are Schonfeld is
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TITLE: Intermediate Full-Stack Developer
EMPLOYER: MaintainX
LOCATION: Montreal, Toronto (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-05
APPLY_URL: https://job-boards.greenhouse.io/maintainx/jobs/5071289007
EXCERPT: Intermediate Full-Stack Developer Montreal, Toronto MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We are looking for a Full Stack Developer to join these teams. These roles have openings at Intermediate, Senior and Lead level positions. What you'll do: - You'll brainstorm & collaborate with Product Managers and Designers to conceptualize new features & be involved in building product roadmaps. - You'll bring a product mindset to understand customers' business, their needs, and the technical opportunities and challenges that exist within their industries. You'll work across our stack (TypeScript, React, React Native, Node.js, and GraphQL) - Web & Mobile - You'll work with the team to build, maintain and optimize product features that focus on how our users best collaborate with one another. - You'll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems. - You'll mentor other engineers and deeply review code. - You'll improve engineering standards, tooling and processes & bring best practices in planning, developing, testing and deploying industry compliant code. - On-call duties About you: - You have 3-5
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TITLE: Machine Learning Engineer
EMPLOYER: Point72 Asset Management
LOCATION: New York (unspecified)
SALARY: Not disclosed
POSTED: 2025-09-15
APPLY_URL: https://boards.greenhouse.io/point72/jobs/8170176002?gh_jid=8170176002
EXCERPT: Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong
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TITLE: Account Executive, AWS, Not-for-Profit Financial Services
EMPLOYER: Amazon
LOCATION: Minneapolis, Minnesota, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-29
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/10434603/account-executive-aws-not-for-profit-financial-services
EXCERPT: Account Executive, AWS, Not-for-Profit Financial Services Minneapolis, Minnesota, USA Would you like to own driving revenue and customer engagements for a leader in the Cloud Computing business? Would you like to be part of a rapidly growing team focused on increasing adoption of Amazon Web Services (AWS) by engaging with financial services organizations? Not-for-profit financial services organizations, like credit unions, pension funds and mutual insurance organizations, are rapidly adopting AWS as part of their mission-impacting business strategies. They are leveraging AWS to modernize member experiences, deliver Agentic AI solutions, and migrate legacy infrastructure. Do you have the sales experience, financial services background and customer relationships to help further establish AWS as a leading cloud platform provider to this important customer base? As an Account Executive with AWS, you will have the exciting opportunity to help shape and deliver on a strategy that focuses on customer success, building mind share and driving broad use of Amazon's utility computing services with a set of named, mission-driven financial services organizations. The ideal candidate will have sales and/or consulting experience within this geographic market, a strong understanding of FSI-specific challenges, strong relationships within the customer base and the consulting and SaaS partner community that serves this market. The Account Executive will be a strong analytical thinker who thrives in fast-paced dynamic environments, has a strong technical interest, and a passion for financial services. They should be a self-starter who is prepared to develop and execute an account coverage plan with high-growth revenue targets. A
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TITLE: Staff Software Engineer, Inference Cloud
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2024-07-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/6053533003
EXCERPT: Staff Software 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 Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. This is a hands on IC role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay
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TITLE: Governance & Operations Lead, Infrastructure & Planning
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $172K-$306K
POSTED: 2026-04-22
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200659391/governance-operations-lead-infrastructure-planning?team=MLAI
EXCERPT: Governance & Operations 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. We are seeking a founding Operations Lead with a passion for ML compute lifecycle management to build and own our governance and operations function. This is a ground-up opportunity to develop the roadmap and build a world-class, high level operations team. You will partner closely with tools and analytics leads to define the governance systems, telemetry frameworks, utilization dashboards, and analytical models that give PACE and Apple's ML leadership a clear, continuously updated picture of how compute is being used. Success for this role means zero project slips due to process, platform, or mis-prioritization. Mastery of this role means establishing and tracking key productivity metrics and proactively solving problems to keep those metrics consistently high. Your work will power core ML analytics both for internal development and inference serving. Most operations roles involve endless runbooks. This role is for someone who is also an engineer and artist at heart. Your operations work will empower a high-leverage team to drive decisions that have a significant impact on Apple's financial results. - Own the daily operations of the
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TITLE: Quantitative Developer - Production
EMPLOYER: Qube Research & Technologies
LOCATION: Hong Kong, Singapore (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-24
APPLY_URL: https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8522136002
EXCERPT: Quantitative Developer - Production Hong Kong, Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments - Proven track record designing and delivering scalable systems in production environments - Knowledge of low-latency systems, trading environments, market data,
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TITLE: Director of Costing Accounting
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7579627003
EXCERPT: Director of Costing 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 Director of Cost Accounting will lead all cost accounting, inventory, and cost-related financial activities across manufacturing, infrastructure, and AI compute operations. This role is critical to ensuring accurate costing, capitalized asset accounting, and cost transparency across both training and inference workloads. This role requires comfort operating in a fast-paced, evolving environment, where priorities may shift and processes are still being built. The successful candidate will be expected to ramp quickly, close gaps, and contribute immediately, bringing structure, judgment, and execution while helping
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TITLE: Software Engineer - Site Reliability Engineering
EMPLOYER: Qube Research & Technologies
LOCATION: Paris (unspecified)
SALARY: Not disclosed
POSTED: 2025-05-09
APPLY_URL: https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/7991214002
EXCERPT: Software Engineer - Site Reliability Engineering Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts - Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments -
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TITLE: Research Engineer
EMPLOYER: Royal Bank of Canada
LOCATION: MONTRÉAL, Quebec, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/MONTRAL-Quebec-Canada/Research-Engineer-II_R-0000153556/apply
EXCERPT: Research Engineer MONTRÉAL, Quebec, Canada Embrace the role of a Research Engineer and drive innovation in machine learning at RBC Borealis. Collaborate with top researchers, develop cutting-edge AI solutions, and work with massive datasets and computational resources. If you have a passion for applied machine learning and a strong Python skills, this is your opportunity to make an impact.
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TITLE: Pure Mathematics Specialist – Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: World Wide - Remote (remote)
SALARY: $35-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4737130101
EXCERPT: Pure Mathematics Specialist – Freelance AI Trainer Project World Wide - Remote Are you a theoretical mathematics expert eager to shape the future of AI? Large-scale language models are rapidly advancing, and their ability to handle rigorous proof-based reasoning depends on high-quality mathematical training data. With your advanced expertise, tomorrow's AI can better understand abstraction, logic, measure theory, homotopy, and the deep structures of modern mathematics. That training data begins with you - your insight will help power the next generation of AI. We're looking for specialists with deep foundations in pure mathematics who can engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory. Coupled with this deep foundation, we need each expert to have a normalized fluency in Lean 4, the proof assistant and programming language. On a typical day, you will construct and evaluate complex proofs, substantiate the mathematical reasoning for correctness and rigor while identifying subtle conceptual or logical failures, and translate this material to successfully build in .lean syntax. You will also collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks, enhancing the overall quality of our operations. Candidates fluent in Lean 4 with an in-progress or freshly earned PhD or current PostDoc experience in pure mathematics are ideal. A strong command of core areas is required, and applicants should be comfortable with topics such as Markov's and Chebyshev's inequalities, Hoeffding bounds, convergence theorems, the Carathéodory extension theorem, the Riesz representation theorem,
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TITLE: Senior GL Accountant
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-09
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7694944003
EXCERPT: Senior GL Accountant 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 seeking a detail-oriented and experienced Senior GL Accountant to join our corporate accounting team. This role is responsible for participating and maintaining general ledger accounting operations, ensuring accurate and timely financial reporting in compliance with U.S. GAAP. Responsibilities - Perform the monthly, quarterly, and annual financial statement close processes globally in accordance with US GAAP, including preparation and review of journal entries, account reconciliations, and variance analysis for cash, prepaids, accruals, inter-company, OPEX and various other accounts. - Support the external reporting
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TITLE: Logistic Co-Ordinator
EMPLOYER: Avantor
LOCATION: Mölndal, Sweden (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://vwr.wd1.myworkdayjobs.com/avantorJobs/job/Mlndal-SWE/Logistic-Co-Ordinator_R-173340/apply
EXCERPT: Logistic Co-Ordinator Mölndal, Sweden Embrace the role of a Logistics Coordinator in Sweden, supporting pharmaceutical research and development. Manage inventory, handle chemicals, and ensure timely deliveries in a dynamic lab and production environment. Ideal for detail-oriented professionals with strong computer and communication skills. Grow your career with a global leader in life sciences.
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TITLE: Senior/Staff Engineer : Post Silicon- Bring Up
EMPLOYER: Cerebras Systems
LOCATION: Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, Canada (unspecified)
SALARY: $175K-$275K
POSTED: 2026-02-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628233003
EXCERPT: Senior/Staff Engineer : Post Silicon- Bring Up Bengaluru, Karnataka, India; 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. The Role: In this exciting role, you will be responsible for bring up and optimizations of Cerebras's Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization. Responsibilities: - On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs - Work on refining AI Systems across H/W-S/W
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TITLE: Warehouse - Stocking Overnight
EMPLOYER: O'Reilly Auto Parts
LOCATION: Billings, Montana, United States of America (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-27
APPLY_URL: https://oreillyauto.wd1.myworkdayjobs.com/oreilly/job/Distribution-Center-Billings-MT/DC-Materials-Handler----Overnight-Stockng_R179220-1/apply
EXCERPT: Warehouse - Stocking Overnight Billings, Montana, United States of America Embrace the role of a Warehouse Stocker and play a key role in ensuring accurate inventory and safe handling of products. If you have strong attention to detail, basic computer skills, and thrive in a team environment, this is your opportunity to grow your career with a stable and supportive company.
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TITLE: Senior Software Backend Engineer, Platform Computing
EMPLOYER: Iambic Therapeutics
LOCATION: San Diego HQ, San Diego, California, United States, Boston Office (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-18
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/iambic-therapeutics/0e5ca8c3-60a2-43f5-910a-bfedf6129d90
EXCERPT: Senior Software Backend Engineer, Platform Computing San Diego HQ, San Diego, California, United States, Boston Office JOB SUMMARY We are seeking a Senior Software Backend Engineer, Platform Computing to integrate and operate the compute layer that powers data processing and model inference across Iambic's drug discovery platform. You will work within the Software Platform team, partnering with ML engineers and scientists to ensure production workloads are reliable, performant, and scalable. Your focus will be on integrating and operating compute infrastructure and orchestration systems that enable scientific workflows across the platform. This position will be based at our San Diego Headquarters. KEY RESPONSIBILITIES - Integrate and maintain the compute layer supporting data processing and model inference workflows in production - Ensure reliable and performant execution of workloads through monitoring, troubleshooting, and failure resolution - Operate and extend workflow orchestration systems (e.g., Prefect, Coiled, Modal or similar frameworks) - Support deployment and execution of ML model outputs in production environments - Enable scientific workflows by integrating external data sources and supporting analysis and inference workloads within and outside of Insight (e.g., large-scale assay refits) - Collaborate with ML engineers and cross-functional teams to translate model capabilities into production-ready systems - Integrate new compute capabilities into the platform as they are developed, ensuring scalability and flexibility - Establish and maintain best practices for reliability, observability, and operational support QUALIFICATIONS - 10+ years of relevant experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience - Strong software engineering
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TITLE: Lead AI Engineer
EMPLOYER: Hilbert
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-26
APPLY_URL: https://jobs.ashbyhq.com/hilberts/e82b2438-b205-4ffb-8545-4ad36135e220
EXCERPT: Lead AI Engineer San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. We're looking for a Lead AI Engineer who can own the technical direction of Hilbert's AI stack, ship production-grade systems hands-on, and elevate a growing engineering team - all with the ownership and urgency of a founder. This is not a "manage from a distance" role. You'll write code, make architecture calls, set the bar for quality and velocity, and build the engineering culture as we scale. You're the person the team looks to when the problem is ambiguous, the stakes are high, and the path forward hasn't been written yet. If you combine deep technical craft with the ability to lead people and communicate with clarity, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and e-commerce. We're scaling fast with top-tier investors behind us. The AI stack is the product - which means engineering leadership here has direct, measurable impact on enterprise customers and revenue. We're a small, talent-dense, low-ego team.
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TITLE: Applied Scientist, Quantum error correction team, Amazon Center for Quantum Computing
EMPLOYER: Amazon
LOCATION: Pasadena, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-13
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/10418982/applied-scientist-quantum-error-correction-team-amazon-center-for-quantum-computing
EXCERPT: Applied Scientist, Quantum error correction team, Amazon Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist in the Quantum Error Correction Theory Team. You will be joining a multi-disciplinary team of scientists working at the forefront of quantum computing. The ideal candidate should posses comprehensive knowledge of quantum fault tolerance theory, including: - Topological, concatenated and low density parity check codes - Quantum decoding algorithms - Fault-tolerant logical protocols You will contribute to developing hardware-aware fault-tolerant protocols and software tools for performance analysis under realistic noise models, helping guide our organization toward delivering a fault-tolerant quantum computer. Key job responsibilities - Design and evaluate novel quantum error correction schemes, including new codes and fault-tolerant protocols - Research and develop hardware-optimized architectures for fault-tolerant computing - Drive experimental implementations of quantum fault-tolerance - Develop simulation and modeling software tools - Lead high-impact, collaborative research projects aligned with our engineering roadmap - Apply strong engineering principles while maintaining scientific rigor A day in the life Based in Pasadena, CA, you'll work in our purpose-built facility, designed for quantum computing research and development, adjacent to Caltech's campus. As an applied scientist in the quantum error correction team, you will: - Drive independent research while collaborating on fault tolerance projects within our architecture - Stay abreadth with current developments in the active field of fault-tolerance through joint Caltech seminars and conference participation - Partner with experimental scientists to enhance
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TITLE: Prognostics & Health Monitoring Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $150K-$250K
POSTED: 2026-04-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7720309003
EXCERPT: Prognostics & Health Monitoring Engineer 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. Role Summary Quality, reliability, and uptime are foundational to scaling Cerebras systems. We are seeking an engineer to define and build our prognostics and health monitoring (PHM) capability-developing frameworks to monitor, assess, and predict hardware health across our fleet. In this role, you will transform telemetry and operational data into actionable insights and automated responses, enabling early detection of degradation, accurate failure prediction, and proactive actions to keep systems highly available, performant, and resilient. This is a highly cross-functional role spanning reliability engineering, data science,
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TITLE: Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)
EMPLOYER: Cerebras Systems
LOCATION: Europe; Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada (remote)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762063003
EXCERPT: Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E) Europe; Remote, California, United States; 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. The Role The DC Delivery E2E TPM is the single-threaded owner for delivering data center capacity from forecast → site strategy → design → construction → infrastructure readiness → go-live. You will operate as the SSOT (Single Source of Truth) for delivery milestones, risks, and capacity outcomes while orchestrating cross-functional execution across internal teams and external partners. This is a frontier-scale role where ambiguity is high, timelines are compressed, and stakes
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TITLE: Quantum Innovation Postdoctoral Fellow - Quantum Applications
EMPLOYER: QuEra Computing
LOCATION: Boston, MA, USA (unspecified)
SALARY: $110K-$120K
POSTED: 2025-10-28
APPLY_URL: https://job-boards.greenhouse.io/queracomputinginc/jobs/4968203008
EXCERPT: Quantum Innovation Postdoctoral Fellow - Quantum Applications Boston, MA, USA Summary QuEra Computing, Inc. is seeking a talented and driven Postdoctoral Fellow with a background in quantum physics, quantum error correction or quantum machine learning to contribute to our neutral atom quantum computing research and innovation efforts. This role is a fixed-term assignment. The ideal candidate will help develop new quantum computing applications, design and evaluate quantum algorithms that inform both near-term applications and long-term architectures. This is a unique opportunity to shape the design direction of one of the most promising quantum computing platforms, while working in close collaboration with QuEra scientists, engineers, and product teams in an industry setting. Key Responsibilities - Design algorithms and quantum protocols suited to neutral atom platforms and collaborate with software and hardware teams on implementation. - Propose and evaluate scalable quantum architectures, error correction schemes, and control strategies. - Explore innovative applications of neutral atom systems in quantum simulation, optimization, machine learning and computation. - Collaborate with experimental teams to guide system design, interpret results, and validate models. - Contribute to technical publications, white papers, and patent filings. - Participate in internal knowledge-sharing sessions and external scientific outreach (e.g., conferences, workshops). Required Qualifications - Ph.D. in Physics, Quantum Information, Theoretical AMO Physics, or a closely related field. - Strong background in quantum information science, quantum simulation, and quantum application development - Experience developing and analyzing quantum algorithms or protocols. - Proficiency with numerical tools (e.g., Python, Julia, QuTiP, or custom simulation code).
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TITLE: Senior Yield Enhancement Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA (unspecified)
SALARY: $175K-$250K
POSTED: 2026-02-16
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7628236003
EXCERPT: Senior Yield Enhancement Engineer 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 : Senior Yield Enhancement Engineer We are seeking a highly experienced Senior VLSI Product and Test Engineer with 7+ years of relevant experience in Semiconductor Testing/Failure Analysis/Yield Enhancement. The successful candidate will look at ATE datalogs, understand the defects in detail, disposition wafers based on ATE data and drive FA/Yield enhancement using physical/optical inspection techniques used in FA. Suitable candidate will have depth in testing, characterization of silicon defects, failure modes, and experience delivering end-to-end solutions working closely with teams across chip design, fabrication,
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TITLE: Compute & Infrastructure Accounting Manager
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/67ef8778-71a1-4a20-ae82-3a3c2ab9c780
EXCERPT: Compute & Infrastructure Accounting Manager San Francisco, California, United States About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Compute & Infrastructure team shares financial insights and partners with internal and external business stakeholders to manage the accounting and financial reporting for OpenAI's rapidly evolving infrastructure investments. The team supports a broad and increasingly complex portfolio of compute and infrastructure arrangements, including cloud computing, data centers, servers, equipment, rack financing, colocation arrangements, and other AI infrastructure deployments. We are responsible for ensuring financial accuracy, operational scalability, and informed decision-making as OpenAI continues to invest in advanced technologies and expand its infrastructure footprint. About the Role We are looking for an experienced and technically skilled accounting professional to manage the accounting and financial reporting for OpenAI's compute and infrastructure lease-related activities. In this role, you will own complex lease accounting matters across data centers, servers, equipment, and other infrastructure arrangements, while helping operationalize new programs as the organization continues to scale. You will evaluate unique and highly structured transactions, assess their accounting implications, and translate technical conclusions into clear recommendations for leadership. You will also work cross-functionally to design the processes, systems, controls, and data solutions required to support accurate and scalable accounting operations. This role requires a strong command of US GAAP, particularly lease accounting and consolidation, as well as the ability to operate effectively and fluidly in an evolving environment where new infrastructure programs may not
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TITLE: Strategic Deals
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/8728beb4-1ad9-4140-b701-e7e12f6c9a4d
EXCERPT: Strategic Deals San Francisco, California, United States About the Team The Industrial Compute team is responsible for building and scaling the infrastructure foundation that powers OpenAI's research and products. The team works across compute strategy, infrastructure planning, hardware partnerships, and capacity management to ensure OpenAI can meet rapidly growing training and inference demands with resilient, efficient, and future-looking infrastructure systems. About the Role As a Strategic Deals Leader , you will help shape OpenAI's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. Operating at the intersection of infrastructure strategy, technology evaluation, commercial partnerships, and market development, you will identify and execute opportunities that expand OpenAI's access to the compute, infrastructure, and technologies required to support frontier AI systems. You will work closely with engineering, infrastructure, finance, and executive leadership teams to evaluate emerging technologies, develop ecosystem strategies, assess build-versus-buy decisions, and cultivate strategic relationships across hardware vendors, cloud providers, data center operators, and the broader AI infrastructure ecosystem. We're looking for people who combine deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, technical curiosity, and the ability to build partnerships across a rapidly evolving industry landscape. In this Role, You Will - Develop and execute strategies that expand OpenAI's access to compute, infrastructure, and emerging AI technologies. - Evaluate strategic opportunities across hardware platforms, cloud providers, infrastructure partners, and ecosystem participants. - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies.
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TITLE: Network Engineer
EMPLOYER: Cerebras Systems
LOCATION: Sunnyvale, CA; Toronto, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/cerebrassystems/jobs/7762739003
EXCERPT: Network 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 We are looking for a Network Architect to join our Cluster Engineering Team and help shape the front-end datacenter and interconnect fabric for the current and next generations of our AI clusters. You will partner closely with hardware vendors, internal networking teams, and industry peers to define best-in-class network architectures that deliver resilient, reliable, and high-throughput connectivity for large-scale AI workloads. This is a deeply technical role that spans the full stack, from host-side networking and NIC behavior up through cluster-level coordination
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TITLE: Software Development Engineer, Global Edge Compute (Amazon Robotics)
EMPLOYER: Amazon
LOCATION: North Reading, Massachusetts, USA (unspecified)
SALARY: $144K-$194K
POSTED: 2026-05-15
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/10421417/software-development-engineer-global-edge-compute-amazon-robotics
EXCERPT: Software Development Engineer, Global Edge Compute (Amazon Robotics) North Reading, Massachusetts, USA Amazon is looking for Software Development Engineers who are passionate, innovative and have a strong drive to automate and simplify. This position will report to the Software Manager for Device Management - Cloud Services within the Global Edge Compute Team and have responsibility for software engineering across numerous cloud-based services designed to manage edge devices at scale. The Global Edge Compute team is responsible for services that manage Amazon's edge compute fleet - 1,000,000+ devices across 3000+ locations worldwide. Our systems manage everything from advanced robotics systems in Austin, to delivery stations in Cairo. We deliver innovative technical solutions to facilitate the massive growth in Amazon compute capabilities around the globe. Our team's mandate is to design, develop, and operate the next generation of device automation systems that allow for the provisioning and management of edge devices at Amazon scale. We're looking for entrepreneurial and innovative individuals who thrive on solving complex problems. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly partnership focused environment. As an Amazon Software Development Engineer, you will help tackle a diverse landscape of technical challenges. We are a greenfield initiative, and you will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with technology leaders within the team and across the business. You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will
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