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Director of Infrastructure Operations

Cognichip Inc.

Redwood City, CAJobPosted 3w agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Redwood City, CA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Director of Infrastructure Operations will own GPU capacity planning, compute economics, and long‑range infrastructure strategy, bridging finance and engineering. They will build end‑to‑end economic models, drive investment decisions, and manage relationships across the infrastructure supply chain, shaping Cognichip’s AI compute roadmap.

Skills & qualifications

RequiredNice to have

Skills

Cost EngineeringDemand ForecastingFinancial PlanningCloud InfrastructureGoogle SpreadsheetsInternetworkingGPU Capacity PlanningGoogle Sheets ModelingAdvanced ExcelUnit EconomicsCapEx ModelingCOGS ModelingGPU ClustersNetworkingStorage Infrastructure

Qualifications

10+ Years Data-Center Economics ExperienceBachelor’s Degree in Economics, Engineering, Computer Science, Operations Research or Related FieldMBA or Master’s Degree in Technical or Quantitative Field

Full job description

Job Title Director of Infrastructure Operations Job Summary The Director of Infrastructure Operantions will own GPU capacity planning, compute economics, cost engineering, and long-range infrastructure strategy - sitting at the intersection of Finance and Engineering. This person will build the end-to-end economic model of compute, drive infrastructure investment decisions, and manage relationships and proposals across the infrastructure supply chain. Key Responsibilities - Lead multi-year GPU capacity planning and demand forecasting- Build fully loaded cost models and unit-economics metrics for compute infrastructure- Evaluate buy/lease/cloud infrastructure decisions and build supporting business cases- Translate capacity needs into CapEx/OpEx and cost-of-goods impacts- Partner with Finance on operating plans and long-range forecasts- Build models and dashboards for capacity, utilization, and cost visibility- Serve as the key liaison between Engineering and Finance on infrastructure economics Required Experience - 10+ years in data-center economics, capacity planning, or cost engineering- Background in large-scale compute, cloud, AI/ML, GPU, semiconductor, or data-center environments- Strong grasp of unit economics, CapEx/COGS modeling, and depreciation- Advanced Excel/Google Sheets modeling skills- Bachelor’s degree in Economics, Engineering, Computer Science, Operations Research, or a related field. Preferred Experience - MBA or Master’s degree in a technical or quantitative field- Experience at a GPU cloud provider, hyperscaler, or semiconductor company- Familiarity with GPU clusters, networking, and storage infrastructure What We Offer - A pivotal role shaping Cognichip's compute strategy and infrastructure economics from the US HQ- Direct partnership with Finance, Engineering, and business leadership- Work at the intersection of AI, semiconductors, and infrastructure, solving high-impact economic and technical problems- Competitive compensation package, including early-stage equity in a fast-growing AI startup- A high-trust, low-ego team culture that values ownership, curiosity, and collaboration

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