**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
- Locations
- Redwood City, California, United States
- Education
- bachelor degree
- Experience
- 10+ years