> Markdown version of [/jobs/ext/4616962-director-of-infrastructure-operations](https://www.wearedevelopers.com/jobs/ext/4616962-director-of-infrastructure-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Infrastructure Operations - **Company:** COGNICHIP, INC. - **Location:** Redwood City, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Cloud Computing, Computer Clusters, Data Centers, Information Technology - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_79eeb5bf2b6d68aaa53e755d0625914c ## About the Role * 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., * 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 ## Description 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., * 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