Collaborate on the design of new hardware platforms and tools to improve robotic manipulation, including evaluating and recommending novel sensors. Develop and improve various teleoperation technologies to make operations intuitive, smooth and fast.
Numbers & Facts
Location
Mountain View, CA
Description
Qualifications:
Bachelor's Degree in Computer Science
5+ years of experience in controls systems engineering for high-DOF robotic hardware
C++ and Python
Robotics / automation industry experience is a must
Experience working in early-stage startups required
Experience tele-operation, force-torque sensor, torque control
Strong foundation in control theory and mechanics, including model predictive control, linear and nonlinear optimization
Understanding of 3D coordinate systems transform, as well as rigid and non-rigid body dynamics
Detail-oriented mindset with the ability to identify subtle issues across system layers (e.g., baud rate & time syncing)
Experience with vision-language-action models (VLA), reinforcement learning, or world models
Responsibilities:
Take end-to-end ownership of the motion and force control stack, from low-level systems to high-level integration
Develop and improve various teleoperation technologies to make operations intuitive, smooth and fast
Develop fault-detection, collision avoidance systems, conduct safety analyses, and lead rigorous testing
Work closely with software engineers to refine system usability through real-world use cases and continuous iteration
Collaborate on the design of new hardware platforms and tools to improve robotic manipulation, including evaluating and recommending novel sensors