- Data center design (MEP, liquid cooling, high-density racks)

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 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
- Solid 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,

📌 Staff TPM (Canada)
🏢 Cerebras
📍 Canada