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, system dynamics, and estimation, with exposure to modern learning-based or reinforcement learning approaches.
Can move comfortably across the stack, from low-level actuator behavior and hardware interfaces to higher-level algorithms and whole-robot performance.
Have experience writing performant production-quality software in C++ or Rust.
Experience with robotic hardware and enjoy iterating quickly between simulation and real-world testing environments.