Control Systems Software Engineer, Robotics
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labonsite$380k–$460k
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