---
title: 'Staff Technical Program Manager, Data Center Supply Chain at Cerebras Systems'
canonical: 'https://feeny.ai/job/staff-technical-program-manager-data-center-supply-chain-cerebras-systems-k51xz6y08yk8'
type: 'job'
last_seen: '2026-11-10'
---

# Staff Technical Program Manager, Data Center Supply Chain at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/cerebras/6379f864-d499-4838-bb76-b7e5ec571afa

## 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](https://openai.com/index/cerebras-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 supply chain readiness programs for data center expansion. You will connect capacity and deployment plans with the equipment, supplier commitments, and logistics needed to bring new infrastructure online. Working with procurement, engineering, manufacturing, finance, construction, and deployment teams, you will create an integrated view of demand, supply, and site readiness. You will own the cross-functional equipment readiness plan, uncover shortages and long-lead risks, and drive recovery actions that protect delivery milestones. The role requires technical judgment, strong analytical skills, and the ability to coordinate suppliers and internal teams across multiple concurrent deployments.

## Responsibilities

Translate approved site and capacity plans into time-phased equipment requirements, working with engineering to confirm specifications, bills of materials, quantities, and need-by dates. Build and maintain integrated supply plans across critical electrical and cooling equipment, racks, networking, and supporting infrastructure; align supplier schedules with site milestones. Partner with procurement and suppliers to validate lead times, production capacity, order status, factory readiness, and delivery commitments; surface gaps before they affect deployment. Lead recurring demand and supply reviews; reconcile changes in site schedules, engineering configurations, inventory, and purchase commitments with program and finance partners. Drive mitigation of shortages, quality issues, and supplier delays through recovery plans, allocation recommendations, alternate sourcing, and engineering-approved substitutions. Coordinate logistics and delivery readiness with suppliers, integrators, construction, and site teams, including shipping, receiving, storage, installation sequencing, and international dependencies. Establish program reporting for equipment readiness, on-time delivery, shortages, forecast changes, inventory exposure, and cost impacts; present decisions and escalations to leadership. Improve supply chain execution through common readiness checkpoints, supplier reviews, change control, and lessons learned, balancing delivery speed with quality, cost, and inventory risk.

Staff Technical Program Manager, Data Center Supply Chain Required Qualifications Experience leading technical supply chain, infrastructure procurement, materials readiness, or hardware delivery programs with significant supplier and cross-functional dependencies. Demonstrated ability to lead complex programs across multiple sites or product lines, resolve competing priorities, and deliver measurable schedule or supply improvements. Working knowledge of data center equipment and deployment dependencies, including the impact of technical specifications, equipment compatibility, and long-lead components on site readiness. Strong analytical skills in demand and supply planning, inventory reconciliation, lead-time analysis, and scenario modeling; ability to validate and communicate the underlying assumptions. Experience coordinating supplier commitments, engineering changes, logistics, and recovery plans while maintaining clear ownership and visibility of critical risks. Clear communication and stakeholder management skills, including presenting options and tradeoffs to engineering, procurement, finance, suppliers, and executive leadership.

## Preferred Qualifications

Experience with transformers, switchgear, power distribution, cooling equipment, racks, network equipment, or other infrastructure used in mission-critical facilities. Experience with AI or high-performance computing infrastructure, contract manufacturers, rack integrators, or international data center deployments. Familiarity with enterprise resource planning and materials planning systems, supplier performance dashboards, and commercial procurement processes.

## 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:

- 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](https://www.cerebras.ai/join-us)! 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. This website or its third-party tools process personal data. For more details, click [here](https://www.cerebras.net/privacy/) to review our CCPA disclosure notice.

## About Cerebras Systems

## Company Overview
- **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs.
- **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq.
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2015
- **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker

## Core Business
- **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services.
- **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers.
- **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing.

## Products & Services
- **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC.
- **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment.
- **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models.
- **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources).
- **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds.
- **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter.
- **Growth Signals**: 
  - 34.3% YoY headcount growth (701 employees).
  - Rapid data center expansion across North America and Europe.
  - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology.
  - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI).

## Competitive Advantages
- **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters.
- **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density.
- **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility.
- **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work).

## Strategic Focus
- **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference.
- **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments.
- **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows).
- **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter.

## Why Work Here
- **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
- **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
- **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
- **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
- **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A.

## Sources
1. [cerebras.ai/company](https://www.cerebras.ai/company)
2. [cerebras.ai](https://www.cerebras.ai/)
3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us)
4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems)

## Other roles at Cerebras Systems

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- [Staff Technical Program Manager, Data Center New Product Introduction](https://feeny.ai/job/staff-technical-program-manager-data-center-new-product-introduction-cerebras-ht0etjc8v7qz) — Sunnyvale, CA
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