Note: The job is a remote job and is open to candidates in USA. Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. The role of the DC Delivery E2E TPM involves owning the delivery of data center capacity and orchestrating cross-functional execution to meet aggressive deployment targets.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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) 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
Company Overview
Company H1B Sponsorship