Cerebras Systems Inc. logo

Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)

Job Overview

Location

Remote, California, United States; Sunnyvale, CA

Job Type

Full-time

Category

Engineering

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Senior / Staff Technical Program Manager responsible for end-to-end delivery of data center capacity from forecast to go-live, ensuring alignment with aggressive AI system deployment targets.
  • • Day-to-day responsibilities include owning delivery of AI-optimized data center capacity (colo, build-to-suit, retrofits, owned facilities), decomposing complex build programs into workstreams, orchestrating cross-functional execution across real estate, power, design, procurement, construction, deployment, networking, and operations readiness, managing risks and budgets, and serving as the Single Source of Truth for program health to executive leadership.
  • • Cerebras Systems builds the world’s largest AI chip using wafer-scale architecture, delivering industry-leading training and inference speeds, with customers including top model labs, global enterprises, and AI-native startups like OpenAI, which recently partnered for a multi-year deployment of 750 megawatts of scale.
  • • The role offers the opportunity to drive operational excellence through standardization, tooling, and post-mortems, optimize for time-to-capacity and cost-per-MW, and support rapid global expansion while working at the intersection of hardware, real estate, and software scaling demands in a high-growth, ambiguous environment.

🎯 Requirements

  • • 12-15+ years in mission-critical facilities or data center operations
  • • Experience managing multi-site, vendor-heavy environments
  • • Strong expertise in electrical and mechanical systems
  • • Proven track record in improving uptime and performance
  • • Experience at hyperscalers (Google, Meta, Microsoft, AWS) or neo-cloud/AI infra companies (CoreWeave, Lambda, etc.)
  • • Familiarity with high-density AI workloads (liquid cooling, >30kW racks, GPU clusters)

🏖️ Benefits

  • • Opportunity to build a breakthrough AI platform beyond GPU constraints
  • • Work on one of the fastest AI supercomputers in the world
  • • Job stability with startup vitality
  • • Simple, non-corporate work culture that respects individual beliefs
  • • Chance to publish and open source cutting-edge AI research

Skills & Technologies

AWS
Senior
Remote

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Cerebras Systems Inc. logo
Cerebras Systems Inc.
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About Cerebras Systems Inc.

Cerebras Systems builds wafer-scale AI processors and systems for accelerating deep-learning workloads. Its flagship WSE-3 chip, the largest silicon device ever produced, delivers petabyte-scale memory bandwidth and hundreds of thousands of cores on a single wafer. The company supplies CS-series appliances and cloud services to national labs, pharmaceutical firms, and hyperscalers, enabling training of trillion-parameter models with reduced latency and energy use compared to GPU clusters. Founded in 2015 and headquartered in Sunnyvale, California, Cerebras also provides software stacks, libraries, and consulting for AI deployment at scale.

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