Staff Technical Program Manager, Data Center New Product Introduction

Cerebras

United States

On-site

USD 180,000 - 240,000

Full time

7 hours ago
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Job summary

Cerebras Systems seeks a Staff Technical Program Manager to lead Data Center New Product Introduction (NPI) and prepare new AI systems for reliable deployment at scale. You will connect hardware and systems engineering with facility design, supply chain, networking, commissioning, and operations to create repeatable deployment approaches across sites.

Your role owns the integrated readiness program from early requirements through operational acceptance and rollout, focusing on identifying risks

Qualifications

  • Experience leading complex NPI, systems integration, or deployment programs from early requirements through production readiness.
  • Track record of staff-level program ownership across engineering and operations.
  • Technical understanding of data center compute, networking, power, cooling, and facility readiness.
  • Experience defining readiness gates, validation plans, and acceptance criteria.
  • Ability to manage dependencies, engineering changes, risks across multiple workstreams.

Responsibilities

  • Own the cross-functional NPI plan for new system generations, rack configurations, and infrastructure readiness.
  • Translate engineering specs into deployment requirements for power, cooling, space, rack layout, networking, cabling, installation, serviceability, and site interfaces.
  • Drive design and readiness reviews; surface gaps between product design, facility capabilities, and operational needs.
  • Coordinate deployment and validation plans, including site readiness, equipment availability, installation sequencing, test coverage, and acceptance evidence.
  • Maintain risk/issue register; drive resolution of blockers with engineering owners.
  • Lead change control across specs, BOMs, firmware/software dependencies, deployment procedures, and site requirements.
  • Define repeatable deployment packages with configurations, checklists, runbooks, and handoff.
  • Drive readiness recommendations and executive escalations; track improvements in deployment cycle time.

Skills

NPI leadership
Cross-functional coordination
Hardware infra
Data center systems
Deployment programs

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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 works with the leading 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.

About The Team

The Cerebras Data Center team brings the infrastructure behind our AI systems online. We work across facility design, power and cooling, hardware, networking, supply chain, deployment, and operations to deliver reliable capacity. As our infrastructure expands, we are building the programs and repeatable processes that help teams execute across multiple sites.

About The Role

Cerebras is seeking a Staff Technical Program Manager to lead Data Center New Product Introduction (NPI), preparing new AI systems and infrastructure designs for reliable deployment at scale. You will connect hardware and systems engineering with facility design, supply chain, networking, commissioning, and operations to turn new technical requirements into a repeatable deployment approach.

You will own the integrated readiness program from early requirements and initial deployments through operational acceptance and broader rollout. Success means identifying integration risks early, closing readiness gaps, and ensuring that each new introduction can be deployed and supported consistently across sites.

Responsibilities
  • Own the cross-functional NPI plan for new system generations, rack configurations, and supporting infrastructure, with clear milestones, owners, dependencies, and readiness criteria.
  • Translate engineering specifications into deployment requirements covering power, cooling, space, rack layout, networking, cabling, installation, serviceability, and site interfaces.
  • Drive design and readiness reviews with engineering and deployment teams; surface gaps between the product design, facility capabilities, and operational requirements.
  • Coordinate initial deployment and validation plans, including site readiness, equipment availability, installation sequencing, test coverage, issue triage, and acceptance evidence.
  • Maintain the integrated risk and issue register; drive resolution of compatibility, quality, configuration, and schedule blockers with accountable engineering owners.
  • Lead change control across specifications, bills of materials, firmware and software dependencies, deployment procedures, and site requirements; assess downstream impacts before rollout.
  • Define repeatable deployment packages with the technical teams, including approved configurations, acceptance checklists, runbooks, training, spares requirements, and operational handoff.
  • Drive readiness recommendations and executive escalations; incorporate lessons from initial deployments into subsequent rollouts and track improvements in deployment cycle time and issue recurrence.
Required Qualifications
  • Experience leading complex NPI, systems integration, hardware infrastructure, or deployment programs from early requirements through production or operational readiness.
  • Track record of Staff-level program ownership across engineering and operations teams, including resolving ambiguous requirements and driving decisions across organizational boundaries.
  • Technical understanding of data center systems and the relationships among compute, networking, power, cooling, rack integration, and facility readiness.
  • Experience defining readiness gates, validation plans, acceptance criteria, and issue resolution processes for new technology introductions.
  • Ability to manage configuration dependencies, engineering changes, critical paths, and technical risks across several concurrent workstreams.
  • Strong communication and documentation skills, including explaining technical tradeoffs, presenting launch risks, and securing clear decisions from senior stakeholders.
  • Preferred Qualifications
  • Experience deploying AI accelerators, high-performance computing systems, high-density racks, or liquid-cooled infrastructure.
  • Experience with initial site deployments, rack integrators, commissioning teams, and transitions from engineering validation to repeatable field execution.
  • Familiarity with hardware product lifecycles, manufacturing readiness, reliability validation, and service operations; ability to coordinate dependencies with those teams.
Why Join Cerebras
About

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.

Find out more about what it's like to work at Cerebras here!

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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