Technical Program Manager, AI Infrastructure

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.

Be part of the team that builds and operates the world's fastest AI infrastructure for training and inference. Your role as a TPM will help accelerate data center buildouts to meet the explosive demand for our inference service platform.

• Own end-to-end technical programs for multiple data center buildouts, coordinating with partners, contractors, and internal teams.
• Drive facility site readiness for power and cooling for Cerebras Wafer-Scale Engine systems.
• Coordinate equipment delivery and manage vendor accountability for schedules and quality related to rack integration and inter-rack cabling.
• Act as the single-threaded owner across internal partners:
  Hardware & Systems Engineering, Network & Storage Engineering, AI Cloud Infrastructure & Operations.
• Enforce handover criteria between site completion, equipment deployment, and operations.
• Own overall schedule tracking, risk identification, and mitigation, creating clear visibility for leadership.
• Establish program governance, risk tracking, and RACI clarity.
• Present program status, metrics, and operational risks to senior leadership.
• Drive partner accountability on contractual milestones and commercial commitments.
• Document repeatable processes and implement them to scale across future data centers.
• Partner on installation, commissioning, change management, and break/fix workflows.
• Lead incident reviews and postmortems, ensuring corrective actions are completed.

• Experience leading large, cross-functional infrastructure programs.
• Experience with AI/ML, HPC, or accelerator-based infrastructure.
• Strong understanding of data center power and cooling fundamentals.
• Experience installing and managing network, storage, and compute devices.
• Proven ability to define and operationalize metrics.
• Strong written and executive-level communication skills.
• Experience working with colocation providers and facilities teams.
• Background in incident management, reliability, or service operations.
• Experience running network operations teams is a plus.

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:
OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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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