---
title: 'Staff TPM - Datacenter Delivery (E2E) at Cerebras Systems'
canonical: 'https://feeny.ai/job/staff-tpm-datacenter-delivery-e2e-cerebras-systems-sunnyvale-a6ca21bb2wbx'
type: 'job'
last_seen: '2026-11-10'
---

# Staff TPM - Datacenter Delivery (E2E) at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/cerebras/c9180f57-34a3-4860-841f-2f197ceda883

## 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 Role

The DC Delivery E2E TPM is the single-threaded owner for delivering data center capacity from forecast → site strategy → design → construction → infrastructure readiness → go-live. You will operate as the SSOT (Single Source of Truth) for delivery milestones, risks, and capacity outcomes while orchestrating cross-functional execution across internal teams and external partners. This is a frontier-scale role where ambiguity is high, timelines are compressed, and stakes are critical to company growth.

## Responsibilities

End-to-End Capacity Delivery

- Own delivery of AI-optimized data center capacity (colo, build-to-suit, retrofits, and owned facilities) from pre-contract planning through operational readiness.
- Deliver MW-scale infrastructure aligned to aggressive GPU/AI system deployment targets.
- Drive clarity from ambiguity—translate high-level demand signals into executable delivery programs.

Program Structuring & Execution

- Decompose complex build programs into workstreams with clear owners, milestones, and deliverables.
- Build integrated plans spanning real estate, power/energy, design, procurement, construction, and deployment.
- Establish critical path visibility and aggressively manage schedule compression.

Cross-Functional Leadership

- Orchestrate execution across:
- Real estate & site selection
- Power & energy strategy (utilities, PPAs, interconnects)
- Data center design (MEP, liquid cooling, high-density racks)
- Supply chain & long-lead equipment procurement
- Construction & commissioning
- Infrastructure deployment (rack/cluster install)
- Networking & backbone connectivity
- Security, compliance, and operations readiness
- Act as the primary interface with colocation providers, EPCs, utilities, and key vendors.

Risk, Cost & Governance

- Identify and drive resolution of critical risks, constraints, and blockers across power, equipment, permitting, and supply chain.
- Own and maintain program budgets, CapEx forecasts, and capital allocation narratives.
- Provide structured updates and escalation paths to executive leadership.

Demand & Capacity Planning Integration

- Partner with capacity planning, AI infrastructure, and finance teams to translate model demand into site-level capacity strategies.
- Align build plans with power availability, network topology, and hardware rollout schedules.
- Continuously optimize for time-to-capacity and cost-per-MW / cost-per-GPU deployed.

Operational Excellence

- Drive E2E improvements in delivery through:
- Standardization of build and commissioning processes
- Implementation of program tooling and dashboards
- Post-mortems and lessons learned loops
- Establish scalable mechanisms to support rapid global expansion.

Communication & Leadership

- Serve as SSOT for program health, milestones, and risks.
- Deliver concise, high-signal updates to senior executives.
- Operate effectively across distributed teams with up to 50% travel.

## Skills & Qualifications

- 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

## Preferred Qualifications

- Experience at hyperscalers (Google, Meta, Microsoft) or neo-cloud / AI infra companies (CoreWeave, Lambda, etc.).
- Familiarity with high-density AI workloads (liquid cooling, >30kW racks, GPU clusters).
- Experience with:
- Utility engagement and power delivery constraints
- Long-lead supply chain planning (transformers, switchgear, chillers)
- Commissioning and data center handover processes
- Ability to operate in high-growth, ambiguous environments with limited structure.
- Strong executive presence and ability to influence without authority.

What sets you apart

- Extreme ownership mindset — you treat capacity delivery as a personal SLA.
- Ability to move fast without breaking systems, balancing urgency with rigor.
- Comfort operating at the intersection of hardware, real estate, and software scaling demands.
- Clear, structured communicator who can turn chaos into executable plans.
- Bias for action with a track record of delivering results under pressure.

Location: US (preferred SF Bay Area / remote with travel)

## 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

- [Developer Relations](https://feeny.ai/job/developer-relations-cerebras-systems-sunnyvale-my5ztdgg7000) — Sunnyvale, CA
- [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
- [Staff Technical Program Manager, Data Center Data & Tooling](https://feeny.ai/job/staff-technical-program-manager-data-center-data-tooling-cerebras-systems-3rwhqxeakvh7) — Sunnyvale, CA
- [Staff Technical Program Manager, Data Center Supply Chain](https://feeny.ai/job/staff-technical-program-manager-data-center-supply-chain-cerebras-systems-k51xz6y08yk8) — Sunnyvale, CA
- [AI Engineer](https://feeny.ai/job/ai-engineer-cerebras-systems-sunnyvale-0nx4xzp63bh9) — Sunnyvale, CA
- [BMS / EPMS Controls Lead](https://feeny.ai/job/bms-epms-controls-lead-cerebras-systems-united-states-24sf3ksg7bbb) — United States
- [Senior Software Engineer, ML API – AI Inference](https://feeny.ai/job/senior-software-engineer-ml-api-ai-inference-cerebras-systems-toronto-myd4p8sxeaa5) — Toronto, Canada
- [Power Manufacturing Test Development Engineer](https://feeny.ai/job/power-manufacturing-test-development-engineer-cerebras-systems-sunnyvale-x2ggztbzgte6) — Sunnyvale, CA
- [Staff Software Engineer, Observability](https://feeny.ai/job/staff-software-engineer-observability-cerebras-systems-sunnyvale-rb9wk9d4aw0y) — Sunnyvale, CA
- [Senior Backend Engineer, Inference Cloud](https://feeny.ai/job/senior-backend-engineer-inference-cloud-cerebras-systems-sunnyvale-3q81ycew9hec) — Sunnyvale, CA