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Control Systems Software Engineer, Robotics

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labonsite$380k–$460k
Apply on the lab’s site ↗

At a glance

Highlights

  • Architect control infrastructure enabling intelligent, reliable robot behavior.
  • Design real-time motion control and state estimation for whole-robot performance.
  • Blend high-level AI capabilities with physical constraints of real robots.

What they offer

  • Equity

Ideal candidate

Hands-on roboticist who thrives tuning real hardware and blending classical control with intelligent behavior. Moves comfortably from actuators to whole-robot performance and loves iterating quickly on physical systems.

Requirements

  • Strong robotics background, including manipulators, mobile robots, or other complex physical systems
  • Experience with actuation, control systems, robot dynamics, estimation, subsystem tuning, or whole-body motion
  • Comfortable being hands-on with robotic hardware, including commissioning, debugging, testing, and iterating on real robots
  • Strong fundamentals in classical control, system dynamics, and estimation, with exposure to learning-based approaches
  • Able to move across the stack from low-level actuator behavior to whole-robot performance
  • Experience writing performant production-quality software in C++ or Rust
  • Experience iterating quickly between simulation and real-world testing
remote policy
In-person 5 days a 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 ↗