OpenAI
Control Systems Software Engineer, Robotics
About this role
OpenAI seeks a Control Systems Software Engineer to design and implement real-time control algorithms for advanced robotic systems. You'll architect the full control stack from low-level actuators to whole-robot behavior, working hands-on with hardware in San Francisco.
What you'll do
- Design and implement real-time control algorithms including motion control, feedback loops, state estimation, and actuator tuning
- Define control architecture spanning low-level hardware interfaces through whole-robot behavior and policy
- Characterize actuator and hardware parameters through experimentation, testing, and rigorous verification
- Collaborate with mechanical, electrical, and software teams to integrate control logic with sensing and actuation
- Work with machine learning engineers to implement reinforcement learning models into control systems
- Inform mechanical and electrical design decisions to maximize system capability and flexibility
What they're looking for
- Real-time control systems and classical control theory
- Robot dynamics, state estimation, and motion planning
- C++ or Rust for production-quality software
- Hands-on robotics hardware debugging and commissioning
- System dynamics and control parameter tuning
- Simulation and real-world testing integration
- Experience with manipulators or mobile robots
- Reinforcement learning and modern learning-based approaches
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Describe a complex robotic control system you've designed—how did you approach the architecture from actuators to whole-robot behavior?
- Walk us through your process for identifying and tuning hardware parameters on a physical robot system.