About the 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. 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 actuat