Software Engineer, Infranomics
OpenAI · San Francisco
About this role
## About the Team The Infranomics team builds the software and data foundations that help OpenAI understand, plan, and improve the economics of its infrastructure. The team works across engineering and finance to make infrastructure spend visible, allocate capacity effectively, and improve efficiency as products grow. Our systems support the CPU, network, storage, and GPU infrastructure behind products such as ChatGPT, the API, and Codex. We are expanding these foundations to connect resource usage, cost, forecasting, and planning so teams can make better decisions at scale. ## About the Role We’re looking for a **Software Engineer** to lead the design, implementation, and operation of systems for **infrastructure cost and efficiency**. You’ll build platforms that explain where infrastructure spend goes, identify opportunities to improve utilization, and help teams plan the capacity they need. We ideally want experience building and operating software for infrastructure economics—such as usage metering, cost attribution, resource efficiency, budgeting, forecasting, or capacity planning. This role is **based in San Francisco, CA** and is **on-site**. ## In This Role, You Will - Define the technical direction and roadmap for infrastructure cost and efficiency systems; lead projects from problem definition through implementation, adoption, and ongoing operation. - Build billing, usage metering, and cost attribution systems connecting infrastructure spend to resources, workloads, services, and the teams that own them. - Develop data pipelines and shared data models combining cloud billing, resource inventory, and utilization signals into a dependable view of cost and capacity. - Build tools for budgeting, forecasting, and capacity planning to anticipate demand, allocate resources, and inform procurement decisions. - Identify underutilized resources and other sources of waste; partner with engineering teams to deliver and measure improvements while preserving performance and reliability. - Create APIs, reporting tools, and automated controls to help teams understand consumption, manage budgets, and make informed infrastructure tradeoffs. - Provide technical leadership across teams, mentor engineers, and own correctness, scalability, and production behavior of the systems you build. ## You Might Thrive If You - Have **7+ years** of experience designing, building, and operating production software and distributed systems, with technical ownership across multiple teams or a significant infrastructure domain. - Have built systems for infrastructure efficiency, cloud cost attribution, usage metering, budgeting, forecasting, or capacity management—and can connect that work to measurable outcomes. - Are hands-on and can move between architecture, implementation, debugging, and operational improvements. - Understand how compute, storage, and networking consumption translate into cost, and can reason about tradeoffs among utilization, performance, reliability, and growth. - Care deeply about data correctness and can build trustworthy systems from complex billing and operational data. - Work effectively across engineering, finance, product, and leadership—translating broad goals into a clear plan and driving adoption without relying on formal authority. - Thrive with substantial autonomy, take ownership of loosely defined problems, and make pragmatic decisions as requirements evolve. - Have experience building internal platforms for engineering
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