Senior Hardware Technical Program Manager

The Role

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.

• Own end-to-end program schedule for engineering improvements. Develop and manage comprehensive program plans, including schedules, material plans, and validation plans.
• Work with key stakeholders in product management, quality, reliability, supply chain, and executive teams to define program strategy and requirements.
• Identify and mitigate technical risks, ensuring program deliverables are met on time and within budget.
• Act as the single-threaded owner across product, engineering, supply chain, and software to manage both detailed and high-level product planning.
• Develop and implement new processes that improve team efficiency as the business scales.
• Collaborate with supply chain, operations, and procurement teams to coordinate component sourcing, vendor management, and logistics.
• Identify and implement strategies to manage costs effectively while meeting performance and efficiency targets.
• Present program status, metrics, and operational risks to senior leadership.

• Bachelor’s or Master’s degree in computer science, electrical engineering, mechanical engineering, physics, mathematics, a related scientific/engineering discipline, or equivalent practical experience.
• 8+ years of experience in technical program management, with a focus on hardware, embedded SW, and product planning.
• Strong understanding of hardware design processes, product lifecycle management, and manufacturing workflows.
• Strong understanding of the intersection of software and hardware, and how hardware changes affect software workflows.
• Proven experience effectively managing project priorities across a diverse set of hardware, software, product, and operations disciplines.
• Demonstrated ability to work effectively with highly technical cross-functional engineering teams.
• Familiarity with project management software, such as MS Project or Smartsheet.
• Strong business acumen with experience in cost management and analysis.
• Outstanding verbal and written communication skills.

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:

Read our blog:
Five Reasons to Join Cerebras in 2026.

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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