Strong Compute jobs

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,

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

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).

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,

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

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.

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

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

Member of Technical Staff, Platform Engineering San Francisco | OnSite ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems. Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence. THE ROLE As a Member of Technical Staff, you will work directly with the Head of Engineering to build, scale, and deploy projects. You'll be expected to transition seamlessly between customer-facing products and our internal infrastructure. WHAT YOU'LL DO In your first 30 days, you will take over key parts of the core simulation engine, adding new features or improving performance, driving key metrics such as throughput and cost. You'll be responsible for making sure our software can scale to 10B+ events and tens of thousands of monthly users (both human and virtual). You'll be responsible for establishing our engineering culture as we continue to scale our technical team. WHO YOU ARE - Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work. - Research-oriented - Able to read papers and keep up with SOTA literature. - Extreme owner - You

Billings and Collections Specialist 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 Billing and Collections Analyst, you'll own the full order-to-invoice cycle, turning delivered hardware, professional services, and compute usage into accurate, timely invoices that support clean financial reporting and on-time customer payment. You'll serve as a key link between Sales, Services, and Finance by leading month-end billing close activities, translating contract terms into billing in NetSuite, and managing credits and adjustments with audit-ready documentation. You'll respond to billing inquiries, resolve order-to-invoice issues before they delay payment, and identify process improvements and

Product Manager (Builder) San Francisco, California, United States, Palo Alto Perplexity is looking for product managers to join a highly leveraged, small team for building new products that innovate to accelerate human productivity. In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. What you'll do - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. Qualifications - Strong experience with product management and leadership. - Strong experience working

Software Architect – Manufacturing Test Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As the Software Architect for Cerebras' manufacturing test platform, you will lead a team of Full Stack Engineers in designing and delivering the end-to-end software systems that power manufacturing test across every stage of our product lifecycle - from individual components to complete Cerebras systems. The platform spans both cloud infrastructure and physical client-server infrastructure deployed across our manufacturing facilities, and you will own the technical vision, architecture, and roadmap across the full stack. Working closely with hardware design, test engineering, operations,

Software Engineer - SDET San francisco, CA About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing - Build testing infrastructure and tooling, including: AI test generation, test harnesses, API, hermetic test environments, load and performance frameworks - Enable testability of systems and services. - Build with modern tools and languages, including K6, Rust, and Go - Refine best practices around making our systems and services high quality - Participate in test planning and quality strategy reviews - Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be delivering code a majority of their time Qualifications We Need - Strong Computer Science fundamentals - 5+ years industry experience building and maintaining high-quality testing software, especially software other engineers use - Strong understanding of Testing and Quality Engineering principles - You drive Quality Culture and feel accomplished enabling others - Desire to be a great teammate and have fun at work - Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you'll learn!) - Experience with back-end testing

Summer 2027 Quantitative Developer Internship New York Please send CVs to [email protected] with “202 7 QD Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. 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. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative developer interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical and programming skills and be able to solve hard problems rigorously. Our typical intern candidates come from math, computer science, or other related programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will further learn and develop strong analytical skills through working with our full-time researchers

Founding GPU Kernel Engineer 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 looking for a Founding GPU Kernel Engineer who lives right at the boundary between hardware and software. Someone who thinks in warps, occupancy, and memory hierarchies, and can squeeze every last FLOP out of a GPU. Your job is to go deeper than anyone else. You'll hand-tune kernels to figure out what's actually possible on the hardware, and then turn that knowledge into compiler optimization passes that help every model we compile. WHAT YOU'LL DO

Senior Quality 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: We are looking for a hands-on Senior Quality Engineer to drive manufacturing quality for printed circuit board assemblies (PCBAs), subassemblies, and system-level products across our contract manufacturers and suppliers. This role is responsible for ensuring robust manufacturing processes, superior workmanship, high production yields, and effective corrective actions throughout the product lifecycle. The ideal candidate brings deep expertise in SMT manufacturing, IPC standards, electronics assembly processes, and statistical quality methods. Working closely with Manufacturing Engineering, Supplier Quality, Reliability Engineering, Design Engineering, and contract manufacturers, you

Software Dev Manager, SCOT - AIM Hyderabad, Telangana, IND Amazon Supply Chain Optimization Technology(SCOT) is looking for Software Development Managers to join the Automated Inventory Management Team. As a leader of the team you will have the opportunity to work with complex algorithms, Distributed Computing Technology, Big-Data computing space to build highly scalable services handling thousands of requests per second that manage inventory plans for millions of items on Amazon.com. We are looking for a Software Development Manager with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale. As part of leading a team of engineers, you will have the opportunity to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can reshape the e-commerce industry. We are seeking someone who has strong technical, project and people skills with a can-do attitude and a focus on delivering high quality software. We move at a fast pace and deliver software iteratively using AGILE best practices and the latest technologies. Key job responsibilities Key job responsibilities We are seeking someone who has strong technical, project and people skills with a can-do attitude and a focus on delivering high quality software. We move at a fast pace and deliver software iteratively using AGILE best practices and the latest technologies. The Ideal Candidate: Must be technically credible to lead teams of world-class software engineers and technical program managers. Must be able to make the

Software Engineer, System Services Seattle, United States of America The Apple Cloud Engineering team is looking for an exceptional software engineer to build and integrate software to orchestrate workloads across highly performant and energy efficient systems that will power the next generation of data centers. In this highly collaborative role, you will be at the center of multiple efforts to utilize hardware acceleration for machine learning and high performance computing workloads. You will be part of a team that builds and maintains system software such as runtime libraries, frameworks, and daemons that will power the next generations of data centers. You will partner with teams across Apple to adapt, tailor, and scale software on a novel compute platform and will help to build the foundation of our future cloud architecture. We are looking for someone with proven mastery building and managing scalable, resilient systems. You should have a strong mix of education and practical experience with a real passion for diving head first into challenging problems. You will work cross-functionally with architecture, platform design and software teams to develop and integrate best in class hardware, software and services. You will be responsible for building and maintaining system infrastructure that powers next generation of data centers. You will ensure high quality and agility with unit tests, integration tests and performance tests. You are the right match if: You possess strong skills in software design and programming. You are passionate about developing new features, maintaining existing code, fixing bugs. You have strong

Software Development Engineer in Test (Cloud) 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 Team The Cloud Quality team is responsible for the confidence behind every production release shipped to Cerebras Inference Cloud. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services. We are scaling quickly. The systems are growing in complexity, traffic is increasing rapidly, and release velocity remains high. We need engineers

CPU Verification Fellow, RISC-V High-Performance Processor 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. Tenstorrent is seeking a CPU Verification Fellow to lead verification strategy and execution for next-generation RISC-V high-performance processors. This role requires deep CPU verification expertise, strong microarchitecture understanding, and the ability to guide large engineering teams from early design through tapeout and post-silicon validation. The ideal candidate has verified complex out-of-order, speculative, superscalar CPUs and can define scalable methodology across simulation, formal verification, emulation, FPGA, and silicon bring-up. This role is hybrid, based out of Santa Clara, CA or Austin, TX. 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. Who You Are - You have deep experience verifying high-performance superscalar CPUs, ideally including out-of-order and speculative processors. - You have strong knowledge of RISC-V architecture, including ISA compliance, privileged architecture,

Senior Executive - Coding Auditor Chennai, Tamil Nadu, India Surgery + E&M Coder : Hiring an experienced Surgery Coder with 3+ years of multi-specialty outpatient surgery coding experience, including IVR and General Surgery and experienced E&M coders who are CPT coding experts of E&M cases performed ED Facility, IP EM. 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.

Enterprise Customer Success Manager Remote, Texas About Sigma Computing Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds. We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives. Key Responsibilities: - Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts. - Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights. - NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support. - Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention. - Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives. - Educational Initiatives: Design and

Design Verification Lead, AI Hardware Toronto, Ontario, Canada 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 Verification Lead for our next-generation AI hardware. You'll guide a top-tier team of Verification Engineers, shaping test strategies to validate functionality and performance of our AI core. This role requires expertise in AI-specific data types, common AI data-movement compute patterns, and on-chip network validation, combined with strong leadership and collaboration skills. This role is hybrid, based out Toronto, ON. 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. Who You Are - A Seasoned Verification Leader: An experienced ASIC/SoC lead with proven track record of leading teams through complex tape-outs. - An AI Hardware Specialist: An expert in the nuances of high-performance compute, specifically focused on AI/ML architectures and the intricacies of tensor-based operations. - A Systems

Applied Scientist, Device Team, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist. You will join a multi-disciplinary team of experimental and theoretical physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a solid foundation in experimental physics and deep and broad knowledge of experimental measurement techniques. Candidates should have a track record of original scientific contributions, and those with deep knowledge and experience in low temperature condensed matter physics (superconductivity, Josephson junctions, phononics, TLS physics etc.) will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. You will be expected to work on new ideas and stay abreast of the field of experimental quantum computation. Key job responsibilities In this role, you will be part of the Physical Metrology and Exploration (PME) subgroup within the Device team. You will work with the basic building blocks of quantum processors, ranging from superconducting films and resonators to junctions and qubits. There are two core missions for the PME team. The first is to support the CQC's central activities through the development of devices, both existing and novel, that fall within this complexity range. This involves understanding their physical principles, identifying performance limitations, and collaboratively enhancing their capabilities. In many cases though,