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 Technical Program Manager.
Title: Technical Program Manager
Job Duties
- Create comprehensive program schedules for the network hardware design, Bill of Materials (BOM) creation, and deployment of Cerebras’s hardware systems for AI. Drive networking hardware designs and BOMs towards closure.
- Architect and manage all project documentation and configuration control, including detailed BOMs, and 3D CAD assemblies. Author and review Engineering Change Orders (ECOs) within Product Lifecycle Management (PLM) tools. Apply advanced knowledge of mechanical systems, design for manufacturing, and thermal analysis to validate BOM content.
- Oversee the engineering aspects of deploying hardware networking and front-end infrastructure racks, ensuring integration with Cerebras’s computing systems. Collaborate with software and hardware engineering teams to optimize system performance and reliability. Drive engineering efforts related to the deployment process, track technical progress, and address engineering risks by coordinating with leadership.
- Define product architecture and system-level strategy, partnering with executive leadership, hardware architects, and product managers. Evaluate how intended use cases, such as AI training or inference, affect mechanical system requirements including heat load profiles, mechanical stress under load, and expansion interfaces.
- Ensure specialized mechanical components with long manufacturing lead times (such as custom cooling hoses, precision machined system interfaces, and structural rack elements) are ordered early enough to maintain program schedule. Work with manufacturers to design parts for cost, reliability, and lead time.
- Track daily activities during deployment of mechanical parts and designs in Cerebras's hardware systems by monitoring mechanical installation metrics such as cooling performance, structural stability, and thermal expansion within the specialized hardware system enclosures.
Minimum Requirements:
Master’s degree or foreign equivalent degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field and 4 years of experience as Junior Mechanical Design Engineer, Mechanical Design Engineer, Mechanical Engineer, Technical Program Manager, Engineering Program Manager, or a related occupation required.
The required work experience must include 3 years of experience with the following:
- Demonstrated knowledge of materials selection for thermal interfaces and structural components, and use Computer-Aided Design (CAD) to review mechanical drawings for accuracy and completeness;
- Project management, risk management, and scheduling for engineering projects;
- Bills of Materials (BOMs) management;
- Demonstrated knowledge of Manufacturing processes for precision components, specifically knowledge of changes that can be made to part design to improve Design for Manufacturing and Design for Assembly; and
- Demonstrated knowledge of FMEA (Failure Modes and Effects Analysis) for engineering processes.
Additional Information:
- Employer’s name: Cerebras Systems Inc.
- Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085
- Telecommuting permitted
- Salary Range: $213,512.00 per year to $220,000.00 per year
- If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 143 on resume or cover letter.
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Top Skills
What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.
Join us: https://cerebras.net/careers/
