Robotics Controls Engineer — Real-Time Arm Motion & Planning

VeeAR Projects Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

VeeAR Projects Inc. in New York seeks a robotics controls engineer to design, implement, and tune low‑level controllers for multi‑DOF arms. You will build real‑time loops and interface with motor drivers, validating on hardware rather than just in simulation.

Collaborate with perception, learning, and mechanical teams to translate desired behaviors into smooth, safe arm motion. A solid background in PID, LQR, impedance/admittance, and trajectory optimization is required.

Qualifications

• BS, MS, or PhD in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, Aerospace Engineering, or a related field.

Responsibilities

• Design, implement, and tune low-level controllers for multi-DOF robotic arms (position, velocity, torque, and impedance/admittance control).
• Build and maintain real-time control loops and interface with motor drivers / actuators (EtherCAT, CAN, current/torque control).
• Develop and integrate motion planning for manipulation, collision-free planning, trajectory optimization, and retiming.
• Work on kinematics and dynamics: forward/inverse kinematics, Jacobians, dynamics models, system identification, and calibration.
• Get controllers and planners working reliably on hardware, not just in sim, debug the messy gap between the two.
• Collaborate with perception, learning, and mechanical teams to turn a desired behavior into smooth, safe, repeatable arm motion.

Skills

Robotics controls

Real hardware

C++

Python

ROS/ROS 2

MoveIt

OMPL

Education

BS/MS/PhD in Robotics/EE/ME/CS/Aerospace

Tools

ROS 2

MoveIt

cuRobo

OMPL

TrajOpt

Job description

VeeAR Projects Inc. in New York seeks a robotics controls engineer to design, implement, and tune low‑level controllers for multi‑DOF arms. You will build real‑time loops and interface with motor drivers, validating on hardware rather than just in simulation.

Collaborate with perception, learning, and mechanical teams to translate desired behaviors into smooth, safe arm motion. A solid background in PID, LQR, impedance/admittance, and trajectory optimization is required.