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Control Systems Software Engineer, Robotics

OpenAI

Control Systems Software Engineer, Robotics is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $380k–$460k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$380k–$460k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings.

  • Function: Research
  • Seniority: mid

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $380k–$460k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: - Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. - Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. - Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. - Work with machine learning engineers to implement reinforcement learning models. - Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. - Help inform the mechanical and electrical design to maximize capability and flexibility. - Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot policy. You might thrive in this role if you: - Have a strong robotics background, including manipulators, mobile robots, or other complex physical systems. - Have experience with actuation, control systems, robot dynamics, estimation, subsystem tuning, or whole-body motion. - Are comfortable being hands-on with robotic hardware, including commissioning, debugging, testing, and iterating on real robots. - Have strong fundamentals in classical control, s

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