Open roles.

The work

• Design power, control, sensing, and interconnect electronics.
• Develop mixed-signal and high-current PCBs from schematic through bring-up.
• Integrate electronics with actuators, sensors, and mechanical assemblies.
• Test hardware, investigate failures, and prepare designs for manufacture.

Required experience

• Five or more years developing electronics for robotics or comparable electromechanical systems.
• Strong schematic and PCB-layout experience.
• Working knowledge of power integrity, signal integrity, and embedded communications.
• Evidence of taking hardware from design through validation.

Relevant experience

• Power electronics and battery systems
• Embedded firmware
• EMI/EMC and functional safety

The work

• Design and tune motion controllers on hardware.
• Build real-time interfaces between planning, estimation, and actuation.
• Develop motion-planning and trajectory-generation methods.
• Calibrate systems and investigate differences between simulation and hardware.

Required experience

• Four or more years developing controls for physical robots.
• Strong foundations in control, kinematics, dynamics, and real-time systems.
• Experience with manipulation or motion planning.
• Proficiency in C++ and Python.

Relevant experience

• Perception and calibration
• Learning-based control
• Embedded or simulation systems

The work

• Develop mechanisms from concept through validated prototypes.
• Design joints, transmissions, structures, and end effectors.
• Integrate motors, bearings, sensors, and structure into compact assemblies.
• Prototype, test, investigate failures, and prepare designs for manufacture.

Required experience

• Five or more years developing electromechanical hardware.
• Experience with manipulators, actuated joints, or comparable mechanisms.
• Strong machine-design, GD&T, and tolerance-analysis experience.
• Expert command of a major CAD and product-data workflow.

Relevant experience

• Dexterous hands and grippers
• FEA and lightweight structures
• Supplier and production experience

The work

• Build simulated tasks, assets, and evaluation environments.
• Train and evaluate policies for manipulation.
• Develop methods for transfer between simulation and hardware.
• Build tools for data generation, training, and evaluation.

Required experience

• Four or more years working in robot simulation or robot learning.
• Experience deploying learned behavior on physical robots.
• Strong simulation, system-identification, and sim-to-real fundamentals.
• Proficiency in Python and a modern machine-learning framework.

Relevant experience

• Simulation infrastructure and developer tooling
• Deformable manipulation
• Large-scale training systems