Engineering Manager - Controls

The Engineering Manager - Controls leads a team of software engineers responsible for the real-time control software that runs on our humanoid robots. This role is accountable for the team's people and delivery: hiring and developing engineers, driving the team's deliverables within the broader Controls roadmap, and making sure the control stack is reliable, well tested, and ready for production.

This is a player-leader role. The ideal candidate brings a strong background in robot control and real-time software, stays close enough to the code to review designs and unblock engineers, and partners closely with the firmware, embedded software, learning, teleoperation, and test teams to bring new capabilities from simulation onto the robot fleet.

• Real-Time Control Software: Oversee development of the real-time control framework that runs on the robot, including robot drivers, state estimation, control interfaces, and the integration of learned policies and teleoperation.
• Execution & Planning: Plan and drive the team's deliverables in coordination with other leads within the broader Controls roadmap. Break program goals into deliverable work, track progress against milestones, and raise risks to schedule or quality early.
• Team Leadership & Growth: Hire, manage, and mentor a team of controls and software engineers. Set clear priorities and ownership, give regular feedback, and develop engineers and tech leads into stronger technical contributors.
• Quality & Release: Maintain a high bar for code quality through design reviews, code reviews, and automated testing, including simulation and hardware-in-the-loop regression tests. Own the team's part of the software release process and the stability of what ships to the fleet.
• Iteration Speed: Keep the control software and tooling fast to work with, so engineers can quickly try new approaches to hard robotics problems in simulation and on hardware.
• Simulation & Hardware Validation: Ensure the control stack behaves consistently in simulation and on hardware, and support robot bring-up, calibration tooling, and root-cause analysis of issues found in testing and in the field.
• Cross-Functional Collaboration: Partner with the firmware, embedded software, learning, teleoperation, systems, and test teams to align on interfaces, priorities, and schedules, and represent the team in stakeholder reviews.

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