Jobs · Engineering · Massachusetts

Robot Control Lead

Automated Tire, Inc. · Woburn, MA · 1 wk ago
On-siteEngineeringFull-time

Responsibilities

  • Own the architecture and implementation of the robot control stack, from joint space control up to whole-body Cartesian based control
  • Design and implement impedance control, force control, and compliant manipulation strategies using Force-Torque sensor feedback for complex dexterous manipulations
  • Develop and tune real-time control loops that meet the timing, safety, and reliability requirements of an industrial robotic system operating in the field
  • Design robot motion and trajectory generation strategies that balance speed, precision, and safety in dynamic, real-world environments
  • Develop controllers and control logic using tools such as MATLAB/Simulink, and translate models into production-grade real-time code
  • Lead the industrialization of control software — hardening prototypes into robust, maintainable, and deployable systems for field operation at scale
  • Collaborate closely with mechanical, electrical, perception, and product teams to define system requirements and resolve cross-disciplinary technical challenges
  • Mentor and guide other engineers on the software controls team, setting technical direction and best practices
  • Support on-site commissioning, testing, and troubleshooting of deployed robotic systems as needed

Requirements

  • Expertise in robotics and control theory, with a strong track record of designing and deploying control systems for physical robots
  • Expertise in low-level control, including impedance control and force control using Force-Torque sensors
  • Expertise in robot motion planning and trajectory/motion control
  • Experience with real-time control systems, including their design, implementation, and performance constraints
  • Hands-on experience with robot simulation tools such as IsaacSim, MuJoCo, or similar platforms
  • Experience with robot controller development environments such as MATLAB/Simulink
  • Experience with real-time vision systems and modern perception models, including VLM and VLA approaches
  • Demonstrated experience taking robotic applications from prototype through industrialization and field deployment

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