Senior Robotics Engineer: Manipulation & Navigation

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

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.