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AI Infrastructure Engineer, pAGI

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremote$266k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build and operate infrastructure for large-scale model training and evaluation.
  • Improve GPU efficiency and shorten path from experiment to validated model.
  • Develop shared inference and grading platforms with automated capacity management.

What they offer

  • Equity

Ideal candidate

Self-motivated engineer excited by personal AGI who enjoys owning open-ended distributed systems problems and using measurements to make research faster and more reliable.

Requirements

  • Strong software engineering fundamentals and experience building or operating large-scale distributed systems
  • Experience in ML infrastructure, inference systems, GPU performance, or infrastructure tooling
  • Highly self-motivated and comfortable taking ownership of open-ended problems
  • Enjoy debugging across system boundaries and using measurements to guide improvements in performance and reliability

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 ↗