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Member of Technical Staff; Robotics Controls Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Maxwell Bond
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Robotics, Automation & Mechatronics Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Member of Technical Staff (Robotics Controls Engineer)
Location: New York

Member of Technical Staff — Robotics Controls Engineer

Location: New York, NY — Onsite
Employment Type: Full-time
Team: Robotics / Software

About the Role

We are building and deploying humanoid robots designed to operate on real factory floors and perform meaningful work in demanding production environments. The arms are central to that mission, and we are looking for a Member of Technical Staff (Robotics Controls Engineer) to develop the low-level control and motion systems that make these robots capable, reliable, and responsive.

As a Member of Technical Staff (Robotics Controls Engineer), you will work close to the hardware across control loops, robot dynamics, actuator drivers, motion planning, and system integration. You will help take manipulation behaviors from algorithms and simulation onto physical robots, solving the real-world problems that emerge between simulation and deployment.

This is a hands-on individual contributor position for a Member of Technical Staff (Robotics Controls Engineer) who enjoys working close to the metal and has experience shipping robotics controls or motion systems on real hardware. You should be comfortable discussing and implementing PID, LQR, impedance control, trajectory optimization, kinematics, dynamics, and real-time control.

Experience tuning industrial arms, cobots, or other manipulators is highly relevant. We are particularly interested in engineers who understand not only the theory behind modern robotics control, but also what it takes to make controllers behave reliably on physical hardware.

What You'll Do
  • Design, implement, and tune low-level controllers for multi-DOF robotic arms, including position, velocity, torque, impedance, and admittance control.
  • Build and maintain real-time control loops and interfaces to motor drivers and actuators using technologies such as EtherCAT, CAN, current control, and torque control.
  • Develop and integrate motion planning systems for manipulation, including collision-free planning, trajectory optimization, and trajectory retiming.
  • Develop and maintain kinematics and dynamics models, including forward and inverse kinematics, Jacobians, rigid-body dynamics, system identification, and calibration.
  • Deploy controllers and planners onto physical robots and debug the gap between simulation and real-world hardware.
  • Diagnose performance issues involving latency, actuator behavior, sensing, dynamics, calibration, and mechanical limitations.
  • Collaborate with perception, learning, mechanical, and electrical teams to turn desired behaviors into smooth, safe, repeatable arm motion.
  • Improve the robustness, performance, and reliability of the robotics software stack through testing, instrumentation, and systematic debugging.
  • Contribute to architecture and technical decisions across low-level controls, motion planning, and manipulation systems.
Required Qualifications
  • BS, MS, or PhD in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, Aerospace Engineering, or a related technical field.
  • 4+ years of hands-on experience developing and shipping robotics controls or motion systems on physical hardware. Equivalent advanced research or project experience may be considered.
  • Direct experience developing controls and/or motion systems for robotic arms, industrial manipulators, cobots, or comparable robotic platforms.
  • Strong understanding of classical control, including PID, LQR, state-space methods, and preferably impedance or admittance control.
  • Familiarity with whole-body control and/or model predictive control is a plus.
  • Experience with motion-planning frameworks such as Move It, cuRobo, OMPL, Traj Opt, or comparable systems, with an understanding of their underlying algorithms.
  • Strong fundamentals in rigid-body…
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