Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Robotics Controls Engineer
- Location
- San Francisco
- Type
- Full time
- Posted
- 1Y AGO
About the role
We are hiring for a fast-growing, VC-backed Bay Area robotics startup! Our team is looking for a Robotics Controls
Engineer to join a team of 15 top researches and engineers from Tesla, Stanford, Deepmind and the like to help create a
home robot that can make our dream lifestyle a reality . If you want to work on the forefront of robotics innovation and be
part of building the best home robot on the market, we’d love to hear from you!
What you’ll Do:
- Lead the design and development of Stealth Startupʼs compliant whole-body
- control stack for our in-house robot with QDD actuators
- Develop and maintain a robust robotics middleware system in Python and C
- to interface with Stealth Startupʼs end-to-end visuomotor policy, remote teleop
- and navigation system
- Build tooling for debugging/replay of control signals as well as kinematics and
- dynamics calibration
What Youʼll Bring:
- Experience with compliant torque control of real robot arms (e.g. Franka, Kuka
- iiwa)
- Deep understanding of rigid body dynamics and spatial math (e.g. Mujoco,
- Pinocchio)
- Experience with optimization-based whole-body control
- Proficiency of writing and maintaining robust, production grade Python and
- C++
Qualifications:
- MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field.
- 5+ years of experience in whole body control, quadruped, or dynamic robotic systems.
- Expertise in model-based control techniques (e.g., inverse dynamics, whole-body control, MPC).
- Strong background in kinematics, dynamics, and optimization for robotic motion.
- Proficiency in either Python, C++
- , C or Rust for real-time control implementation.
- Experience with physics-based simulation tools (e.g., MuJoCo, Gazebo, PyBullet, Isaac, etc.)
Bonus Qualifications:
- Machine Learning
- Reinforcement Learning
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