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Training - Runtime Foundations Engineer

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremote$266k–$385k
Apply on the lab’s site ↗

At a glance

Highlights

  • Design core distributed runtime powering frontier-scale model training runs.
  • Orchestrate thousands of machines as a unified system for large training jobs.
  • Boost reliability and observability to keep long-running jobs stable at scale.

What they offer

  • Equity
  • Relocation assistance

Ideal candidate

Systems thinker who loves building and operating large-scale platforms end to end and cares deeply about performance and reliability. Thrives in ambiguous, high-ownership environments focused on accelerating research velocity.

Requirements

  • Experience developing distributed systems
  • Understand how large systems behave and fail at scale
  • Love being both a developer and an operator
  • Care deeply about performance, correctness, and reliability
  • Strong software engineering skills and proficient in Rust or another systems language (e.g. C++)
  • Solid Linux knowledge with systems-level debugging, performance analysis, and memory profiling
  • Comfortable developing asynchronous and concurrent systems
  • Thrive in high-ownership environments with light process
remote policy
Hybrid, 3 days in office per week

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 ↗