Member of Technical Staff, Robotics Engineering

YouDevise; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

YouDevise is seeking an experienced full-stack roboticist to own manipulation or navigation systems end to end. You’ll deploy on real hardware and drive production-ready behavior from lab prototypes.

Responsibilities include designing manipulation systems, integrating with software and infrastructure, and advancing perception, planning, and control across platforms. Strong Python, robotics math, and hands-on hardware debugging are essential.

Qualifications

• 3+ years in robot engineering, ideally manipulation, with work deployed on physical arms.
• Strong Python; production code with tests and code review.
• Solid robotics math: SE(3), rigid-body transforms, Jacobians, forward/inverse kinematics.
• Motion planning experience (sampling-based planners, collision checking, trajectory generation).
• Learning: trained ACT, Diffusion Policy, or VLAs with PyTorch; LeRobot or similar data pipelines.
• Hands-on hardware debugging: robot drivers, cameras, grippers, calibration.
• Rigorous testing mindset: designs repeatable experiments and reports success rates.
• Tools: Drake, Pinocchio, MuJoCo or Isaac Sim, Meshcat.

Responsibilities

• Design and implement robotic manipulation systems.
• Deploy and operate robotic systems on real-world hardware.
• Debug, iterate, and improve real-world robotic behavior in production environments.
• Collaborate closely with software and infrastructure teams to deliver robust, integrated systems.

Skills

Python

SE(3) math

Motion planning

Hardware debugging

Testing mindset

PyTorch

Tools

Drake

Pinocchio

MuJoCo

Isaac Sim

Meshcat

Job description

We’re looking for full-stack roboticists to own either manipulation or navigation systems end to end. These roles require strong theoretical grounding combined with real-world deployment experience. You’ll be working on robotic arms, mobile robots, and/or legged systems, helping take advanced robotics capabilities from lab-quality to production-ready.

What You’ll Do

• Design and implement robotic manipulation systems.
• Deploy and operate robotic systems on real-world hardware.
• Debug, iterate, and improve real-world robotic behavior in production environments.
• Collaborate closely with software and infrastructure teams to deliver robust, integrated systems.

Role Impact

Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities—such as perception, spatial understanding, decision-making, and control allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.

Key Requirements

• 3+ years in robot engineering, ideally manipulation, with work deployed on physical arms
• Strong Python; experience writing production code with tests and code review
• Solid robotics math: SE(3), rigid-body transforms, Jacobians, forward/inverse kinematics
• Motion planning experience (sampling-based planners, collision checking, trajectory generation)
• Learning: trained ACT, Diffusion Policy, or VLAs (pi-0, OpenVLA, GR00T) with PyTorch; LeRobot or similar data pipelines
• Hands-on hardware debugging: robot drivers, cameras, grippers, calibration
• Rigorous testing mindset: designs repeatable experiments and reports success rates
• Tools: Drake, Pinocchio, MuJoCo or Isaac Sim, Meshcat

Preferred Qualifications

• Control: real-time control loops, controller arbitration, visual serving
• Open-source contributions to robotics or robot-learning projects