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Senior Technical Program Manager

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Cerebras Systems

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Location:
United States; Canada , Sunnyvale

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • Lead Complex Programs: Own delivery of large, cross-functional initiatives across Cerebras’ AI training and inference platforms
  • Align Stakeholders: Partner with engineering, product, hardware, and infrastructure teams to define scope, priorities, and timelines
  • Plan & Execute: Turn ambiguous goals into clear roadmaps, milestones, and measurable outcomes
  • Engage Technically: Participate in system design and architecture discussions to drive informed tradeoffs
  • Manage Risks & Dependencies: Surface blockers early, coordinate across teams, and resolve escalations quickly
  • Improve Execution: Establish strong planning cadences, tracking, and metrics to increase predictability and velocity
  • Scale Impact: Refine processes and share best practices to help teams operate more effectively

Requirements:

  • B.S./M.S. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)
  • 7–10+ years leading complex technical programs or product delivery
  • Experience delivering complex technical programs across software platforms, distributed systems, or infrastructure
  • Strong technical understanding of AI/ML systems, including training and inference workflows
  • Prior product or platform experience building AI training, inference, or large-scale compute systems strongly preferred
  • Comfortable working closely with engineers and engaging in technical tradeoff discussions
  • Excellent prioritization, risk management, and cross-functional alignment skills
  • Ability to operate independently in fast-paced, ambiguous environments
  • Experience collaborating with distributed or remote teams

Nice to have:

  • Experience in productizing AI/ML platform, infrastructure or distributed system solutions (training, serving, compilers, runtimes, or large-scale compute) into reliable, customer-facing solutions
  • Familiarity with hardware–software co-design or accelerator-based systems
  • Experience driving 0→1 or ambiguous platform initiatives
  • Strong grasp of performance, scaling, and reliability metrics
  • Exposure to customer-facing or field deployments
  • Experience mentoring TPMs and improving planning/execution processes
  • Comfortable working across distributed, cross-functional teams
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

Work Type:
On-site work
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