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Capacity Systems Software Engineer

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labremotesenior$293k–$385k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build system of record tracing compute from commitment to business value.
  • Design forecasting and scenario-modeling for global AI infrastructure decisions.
  • Unify fleet health, capacity, and demand into shared operational view.

What they offer

  • Equity

Ideal candidate

A systems-minded builder who loves turning ambiguous operational problems into scalable platforms and thrives partnering across infrastructure, finance, and product to optimize frontier AI compute.

Requirements

  • 5+ years of experience in software engineering, platform engineering, infrastructure engineering, or related disciplines
  • Strong programming experience in Python, Go, Java, TypeScript, or similar languages
  • Experience building distributed systems, backend services, internal platforms, workflow systems, or operational tooling
  • Experience designing APIs, data pipelines, and integrations across multiple systems
  • Strong system design and software architecture skills
  • Experience working with large operational datasets and business-critical workflows
  • Ability to operate in highly cross-functional environments and translate ambiguous challenges into scalable solutions
  • Strong ownership mindset and ability to independently drive complex projects
remote policy
Hybrid – 3 days per week in office

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗