Responsibilities

• Motion Control: Design, implement and tune controllers for joint, Cartesian or coordinated robot motion according to task and hardware needs.
• Coordination & Constraints: Integrate control with kinematics, dynamics, task priorities and practical actuator or workspace limits.
• Compliance & Physical Interaction: Develop appropriate interaction behavior for tasks that require impedance, admittance, force or other compliance methods.
• Command Transitions & Recovery: Implement controller behavior for command-source changes, mode transitions, stale inputs, stopping and recovery under agreed system contracts.
• Production Implementation: Build maintainable C++ control software with attention to timing, concurrency, resource use and diagnostic evidence.
• Hardware Experimentation: Design experiments and analyze data to investigate tracking, oscillation, saturation, friction, sensing and model mismatch.
• Validation & Integration: Work with planning, platform, teleoperation and test engineers to validate complete workflows and maintain controller regression coverage.

Requirements

• Education: BS, MS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science or a related field, or equivalent practical experience.
• Physical Deployment: Experience implementing and debugging feedback controllers on manipulators, mobile robots or comparable physical motion systems.
• Control Foundations: Strong understanding of feedback control, kinematics, dynamics, stability and model uncertainty.
• Control Depth: Substantial experience in one or more of Cartesian control, whole-body coordination, impedance/admittance, force control or related methods.
• Software Engineering: Strong C++ skills and practical Python experience for analysis, experimentation and tooling.
• Hardware Debugging: Ability to connect observed behavior to sensing, actuation, timing, software and model assumptions.
• Ownership: Ability to take a control workstream from formulation and implementation through measured hardware validation.
• Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

• Experience with whole-body optimization, task prioritization or mobile manipulation.
• Experience with contact-rich tasks, force sensing or compliant manipulation.
• Experience with ROS 2 or comparable robotics middleware.
• Experience with real-time software, control performance analysis or constrained computing platforms.
• Experience maintaining controller behavior on deployed robots beyond initial demonstrations.