Strong Compute jobs

CPU Architect, Load-Store United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a highly motivated and passionate CPU Architect to join our processor architecture team, focusing on the CPU's load-store unit. In this role, you will contribute to the design, analysis, and optimization of cutting-edge CPU architectures with an emphasis on a high-performance load-store unit. This is an excellent opportunity to work alongside world class architects in high-performance computing and processor design. This role is Remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Responsibilities: - Drive the architecture, micro-architecture, design and optimization of the CPU load-store unit for Tenstorrent's high-performance out-of-order RISCV CPUs - Propose new implementations to optimize load-store PPA - Perform simulations, modeling, and performance analysis of advanced CPU features and state-of-the-art data

DC Materials Handler Horn Lake, Mississippi, United States of America Embrace the role of a Distribution Center Materials Handler and play a key role in maintaining inventory integrity and ensuring smooth warehouse operations. If you have strong attention to detail, basic computer skills, and a commitment to safety, this is your opportunity to grow with a stable, industry-leading company. Apply today!

System Engineer, Managed Operations Madrid, Community of Madrid, ESP AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in cloud operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute

ML Research Engineer (Inference) Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras architecture. You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize models, gaining end-to-end exposure to cutting-edge inference research on the world's fastest AI accelerator. You will focus on pushing the frontier of speculative decoding , large-model pruning and compression , sparse attention , and sparsity-driven techniques to deliver low-latency,

Lead AI Engineer Bangalore (India)

Nonlinear Computational Analysis Engineer Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description: We have multiple openings for experienced Nonlinear Computational Analysis Engineers with a strong background in computational mechanics, material failure, high-rate dynamics, and multi-physics analysis. You will support design and assessment efforts for complex mechanical systems and structures using massively parallel, high-performance, nonlinear, hydrostructural analysis codes developed at Lawrence Livermore National Laboratory (LLNL). Your efforts will support a variety of projects aligned with one or more of LLNL's Strategic Deterrence, National Ignition Facility & Photon Science, or Global Security mission areas, including high-priority national security efforts in missile defense, space science and security, and laser applications. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate. These positions will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. In this role you will Assess and contribute to the response of complex

HPC Production Engineer Chicago Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago office. The scale of our computing environments provides unique challenges in providing good performance and reliability. Several systems including compute, scheduling, networks, and large-scale data storage must integrate seamlessly to support data pipelines and quantitative research. The ideal candidate would be a hands-on individual, highly skilled in the details and nuances of managing Linux environments with a strong software development background necessary to support uniquely customized systems at scale. What You'll Do: - Design, implement, maintain, and support high performance compute and storage systems - Implement and support performance monitoring and fault monitoring systems - Monitor systems and storage performance, up to and including network components - Build tooling to compile, package, install, and upgrade software and operating system components at scale - Collaborate with team

Cloud Infrastructure Engineer 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 As a cloud infrastructure engineer, you will work on the GoLang backbone for our cloud platform. Your days will be a mix of working to solve problems for customers and building resilient, stable production infrastructure. This is a fast-paced role where you are expected to learn quickly; we will have you jump in from day one. Our infrastructure is majority GoLang. We use a non-standard Kubernetes deployment as a form of hypervisor, with Go scripting for controls and auxiliary services for everything from storage to billing to networking. If you worked at a large company and felt restricted working on a single piece of a huge machine, look no further. At Thunder Compute you will work on complicated production infrastructure, learning quickly while interfacing with customers and owning broad scope across the platform. RESPONSIBILITIES CORE TECHNICAL SKILLS: - GoLang, some Python and Next.js - Kubernetes (unconventional deployment) - Experience owning production systems - Ability to quickly solve problems for clients MUST HAVES: - Fast speed to output, with high attention to

Senior Software Engineer, At Scale Compute Analysis 5 Locations posted: Posted Today

Sr. Technical Program Manager, Managed Operations Berlin, Berlin, DEU AWS has recently launched the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced Technical Program Managers with a strong background in program management and working with Software Engineers. As part of the AWS Managed Operations team, you will play a pivotal role in delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS. Within AWS UC, Managed Operations engineers engage with AWS customers who require specialized security solutions for their cloud services. Eligibility requirement * Fluency in written and spoken English is required. * Candidate must be a national of an EU member state and residing in the EU to operate the AWS European Sovereign Cloud. * Amazon will provide relocation support for successful applicants relocating within the European Union. * Employees will participate in an On-Call rota Key

Sr AI Machine Learning Engineer 4 Locations posted: Posted Today

Product Management Lead San Mateo, CA, New York, NY, Remote, San Diego, CA Genesis Molecular AI is pioneering a transformative approach to drug discovery by leveraging state-of-the-art machine learning, computational chemistry, and biology. Our mission is to accelerate the development of life-changing therapies by merging cutting-edge technology with innovative science. We are building a world-class team to drive forward the future of drug discovery. About the Team: We are a mission-driven group of scientists and engineers using cutting-edge computational methods to discover drugs for unmet medical needs. Our work spans machine learning, computational chemistry, biology, and wet lab experimentation , all operating within a high-trust, deeply technical environment. You'll join a team with extremely strong ML talent that is actively pushing the frontier of AI in drug discovery . We are refining how experimental data, biological context, and computational models integrate into a seamless feedback loop. You will help reshape how data flows from experiment → infrastructure → model → decision and increase the speed and scale at which we learn. The Role This is a builder-integrator role inside a deeply technical, cross-domain environment spanning AI/ML, engineering, computational chemistry, biology, and wet lab operations. You will serve as the connective tissue and acceleration engine across these domains. You will work closely with senior leadership to own roadmap definition and execution across critical internal platforms while driving structural improvements in how our teams operate. This role exists to: - Bridge domain silos and reduce friction between ML experimentation and biological context

Network Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Network Architect on the Cluster Architecture Team, you will work closely with the vendors, internal networking teams and industry peers to develop best-in-class front-end datacenter and interconnect architecture of the current and future generations of the Cerebras AI clusters. You will be responsible for developing proof-of-concept of new network designs and features enabling resilient and reliable network for AI workloads. The role will require cross-functional collaboration and interaction with diverse hardware components (e.g., network devices and the Wafer-Scale Engine) as well as software

Computer Vision Engineer Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical. ABOUT THE JOB We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems

Senior Computer Vision Engineer Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical. ABOUT THE JOB We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception

On-Device Machine Learning Engineer Sunnyvale, United States of America We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. As part of the Video Computer Vision (VCV) team, you will deploy purpose-built vision models on Apple devices, developing innovative techniques to optimize their performance, efficiency, and scalability on-device. Convert and integrate foundation models for on-device deployment. Evaluate power and performance of models running on Apple devices. Optimize on-device inference latency and efficiency of CV/ML models. Minimum Qualifications: BS and a minimum of 10 years relevant industry experience. Strong knowledge of model compression techniques such as pruning, distillation, quantization and weight clustering. Solid understanding of operating system and extensive programming experience in Python and C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data

Senior Product Marketing Manager, AI Inference Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The AI conversation moves fast - new models ship weekly, benchmarks shift overnight, and the community's attention resets constantly. Cerebras has a massive speed advantage in inference, and this role exists to make sure that advantage is visible, understood, and top-of-mind wherever developers and AI builders are paying attention. As Senior Product Marketing Manager, you'll own realtime product marketing for Cerebras inference. You'll create high-impact technical content - blog posts, benchmark analyses, social threads - that positions Cerebras at the center

Computer Vision Engineer (VIO) Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities - VIO Front-end Algorithm development: - Matching between frames and stereo pairs - Calibration of cameras intrinsic and extrinsic parameters - Detection of obstruction - Implementation and optimization of the algorithmic stack for our embedded platforms - Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. - Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements - Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus - Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ - Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. - Passion for Computer Vision and Robotics -

Senior Manager, Technical Accounting (Compute Infrastructure) 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 Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry. About the Role As a Technical Accounting Manager, Compute Infrastructure, you will lead the evaluation, documentation, and operationalization of complex accounting matters related to OpenAI's compute infrastructure and other strategic business activities. This is a high-impact role at the intersection of technical accounting, infrastructure strategy, financial reporting, and cross-functional execution. You will be responsible for analyzing complex and non-routine transactions under U.S. GAAP, developing well-supported accounting conclusions, and translating those conclusions into practical guidance for accounting operations, financial reporting, controls, and business partners. Areas of focus may include leases, cloud compute arrangements, power purchase agreements, related strategic investments, consolidation evaluations, and other emerging or non-standard arrangements. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Evaluate complex, judgmental, and non-routine transactions and document accounting conclusions under U.S. GAAP. - Partner with Controllership, Tax, Legal, FP&A, Procurement, Infrastructure, and other cross-functional teams to assess the accounting implications of

Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed

Physical Design Lead, Static Timing Analysis Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will drive Static Timing Analysis (STA) in the physical implementation of Application-specific integrated circuits (ASIC) using advanced technology nodes. You will lead timing margin derivation, constraint development and validation, and timing closure of large, complex high performance compute ASICs. You will develop static timing methodologies, margins, automation scripts, and write documentation. Additionally, you will work with architecture, logic design, and Design for testing (DFT) teams to fully implement cross-functional design requirements. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the

Machine Learning Algorithm and Software Engineer Sunnyvale, United States of America Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation, robotics and health applications impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in

Electrical 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. Responsibilities - Lead printed circuit board design through all development stages: from definition to implementation, bring-up, qualification, and production release. - Full responsibility for electrical specification, schematic design, components selection, and layout considerations. - Extensive lab bring-up and debugging, including developing automated benchtop setups for board characterization. - Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc. Skills & Qualifications - B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience.

ZK Proof Engineer New York, New York City, USA, Remote About Us Axiom is using zero-knowledge proofs to enable new types of verifiable and private software applications, starting with crypto and fintech. We are a small but incredibly strong team backed by the best investors in crypto . We're looking for exceptional people who are excited to work on challenging and impactful problems in a fast-paced environment. Our office is in NYC and working in person in NY is our strong preference, but we're open to remote candidates as well. We recently released OpenVM , a performant and modular zkVM framework built for customization and extensibility. OpenVM allows developers to verify the correct execution of arbitrary computer programs in a flexible and performant way. We are building ZK-enabled products using OpenVM and supporting teams building on OpenVM. The Role We are looking for a ZK Proof Engineer who will implement and optimize cutting-edge cryptographic code for zero-knowledge proof generation. You will be responsible for building systems to interface between low-level computer systems like the RISC-V ISA, compiler frameworks like LLVM, and database backends and connecting them with cutting-edge zero-knowledge proof systems. The role will involve both optimizing ZK provers and implementing novel ZK circuits. Your work will require making design choices to enable rapid development of secure and efficient systems. We are looking for someone with strong engineering design skills, the ability to work across the stack, and a security mindset. We also value the ability to make pragmatic technology