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Software Engineer, Infranomics

OpenAI · San Francisco, CA, US

Spotted 5h ago

Job details

Pay
$385,000 – $445,000 a year
Work mode
On-site
Level
Senior
Experience
7+ years
Posted
Oct 29, 2026
Last confirmed open
Oct 29, 2026
Job description

About this role

Scaling - San Francisco

About the Team

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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 our 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

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We are looking for a Software Engineer to lead the designs that explain where infrastructure spend goes, identify opportunities to improve utilization, and help teams plan the capacity they need.

We ideally want direct experience building and operating software for infrastructure economics, such as usage metering, cost attribution, resource efficiency, budgeting, forecasting, or capacity planning. You should have owned systems that connect compute, storage, or network consumption to cost and help teams make measurable efficiency and investment decisions.

You will set technical direction for a growing area while staying close to the code. Working with infrastructure engineers, product teams, finance, and leadership, you will turn ambiguous business and engineering problems into reliable software, shared data, and measurable improvements. This role offers substantial autonomy and the opportunity to shape how OpenAI manages its infrastructure investment.

This role is based in San Francisco, CA. This is an on-site role.

In this role, you will:

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  • Define the technical direction and roadmap for infrastructure cost and efficiency systems, and lead projects from problem definition through implementation, adoption, and ongoing operation.
  • Build billing, usage metering, and cost attribution systems that connect infrastructure spend to resources, workloads, services, and the teams that own them.
  • Develop data pipelines and shared data models that combine cloud billing, resource inventory, and utilization signals into a dependable view of cost and capacity.
  • Build tools for budgeting procurement decisions.
  • Identify underutilized resources and other sources of wasteance and reliability.
  • Create APIsed infrastructure tradeoffs.
  • Provide technical leadership across teams, mentor engineers, and own the correctness, scalability, and production behavior of the systems you build.

You might thrive in this role if you:

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  • Have over 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.
  • Remain a hands-on engineer who can move between architecture, implementation, debugging, and operational improvements.
  • Understand how computeance, reliability, and growth.
  • Care deeply about data correctness and can build trustworthy systems from complex billing and operational data.
  • Work effectively across engineeringal authority.
  • Thrive with substantial autonomy, take ownership of loosely defined problems, and make pragmatic decisions as requirements evolve.
  • Have experience building internal platforms that give engineering teams visibility into cloud spend, resource utilization, and ownership.
  • Have experience developing batch or streaming data pipeliness, or large-scale analytics systems.
  • Have experience with Kubernetes, public cloud infrastructure, or resource management systems across cloud and on-premises environments.
  • Have experience automating resource allocation, cost allocation policies, budget tracking, or capacity forecasting.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$385K – $445K

The base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Interested in this role?Continue on OpenAI's careers page.
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