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Senior Technical Program Manager – AI Infrastructure, Site Operations

Location
Sunnyvale, CA
Compensation
Not disclosed
Level
senior
Type
full time

Requirements

Experience
8+ years

Joblaze summary

In this role, the Senior Technical Program Manager oversees the execution of site and data center operations programs that support Cerebras' AI Cloud and customer deployments. The position requires a strong technical background in infrastructure operations, with a focus on metrics, operational readiness, and cross-functional collaboration. Ideal candidates will have extensive experience in Technical Program Management and a solid understanding of data center fundamentals, particularly in high-density environments. Cerebras offers a dynamic work culture that emphasizes innovation and collaboration in the rapidly evolving AI landscape.

Joblaze insights

Quick facts

Is the Senior Technical Program Manager – AI Infrastructure, Site Operations role remote?
No — this is an on-site role in Sunnyvale, CA.
How much experience is required?
At least 8 years of relevant experience for this Senior Technical Program Manager – AI Infrastructure, Site Operations role.
Where is the role based?
Cerebras Systems is hiring for this position in Sunnyvale, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: Network, Hardware Engineering, AI/ML, Infrastructure Operations, Data Center Operations, Storage.
What seniority level is this role?
Cerebras Systems targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Technical Program Manager – AI Infrastructure, Site Operations role at Cerebras Systems.

From the original posting

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.

About The Role

This Sr. TPM role owns site and data center operations programs supporting Cerebras’ AI Cloud and customer deployments. The position sits at Sunnyvale HQ and works closely with Hardware Engineering, Inference Engineering, and Operations leadership to ensure Cerebras systems are reliably deployed, operated, and scaled.

This is a highly technical, execution-focused TPM role with strong emphasis on operational readiness, cross-functional coordination, and metrics/KPIs.

Responsibilities

  • Own end-to-end technical programs for data center and site operations
  • Act as single-threaded owner across:
    • Hardware & Systems Engineering
    • AI Cloud Infrastructure & Operations
    • Network & Storage Engineering
    • Facilities, power, cooling, and colo partners
  • Drive site readiness for Cerebras Wafer-Scale Engine systems
  • Partner on installation, commissioning, change management, and break/fix workflows
  • Lead incident reviews and postmortems; ensure corrective actions are closed
  • Define and own operational metrics and KPIs, including:
    • Availability and reliability
    • Incident rate, severity, MTTR / MTTD
    • Deployment readiness and time-to-service
    • Capacity and operational risk
  • Build executive-level dashboards and reporting
  • Establish program governance, risk tracking, and RACI clarity
  • Present program status, metrics, and operational risks to senior leadership

Required Background

  • 8+ years in Technical Program Management, Infrastructure Ops, or Data Center Ops
  • Experience leading large, cross-functional infrastructure programs
  • Strong understanding of:
    • Data center power and cooling fundamentals
    • Network and storage basics
    • Hardware-centric platforms
  • Proven ability to define and operationalize metrics
  • Strong written and executive-level communication skills

Preferred Experience

  • AI/ML, HPC, or accelerator-based infrastructure
  • High-density and/or liquid-cooled data centers
  • Working with colocation providers and facilities teams
  • Incident management, reliability, or service operations background

Why Join Cerebras

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. 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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