Robotics Consultant – Whole-Body Teleoperation & Control

Position Type: 6-Month Consulting Contract

Location/Eligibility: This is a contract position based in Massachusetts
. You must be able to commute to the Wilmington area onsite at least 3 days a week. For this contract, there is no visa sponsorship available.

We are seeking an expert Robotics Consultant for a 6-month engagement to pioneer our Whole-Body Teleoperation framework. Working alongside our core autonomy team, you will bridge the gap between human intent and high-DOF robotic execution. You will be responsible for designing advanced whole-body controllers, developing robust manipulation pipelines, and setting up the simulation-to-real (Sim2

Real) infrastructure required to bring a humanoid or high-DOF robot to life.

Teleoperation Architecture: Design and implement intuitive, low-latency whole-body teleoperation pipelines for high-DOF robotic systems.

Whole-Body Control (WBC): Develop and optimize multi-objective whole-body controllers that balance manipulation accuracy, balance, and dynamic stability.

Sim2

Real & Reinforcement Learning: Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring policies successfully transfer to physical hardware without degradation.

Hardware Validation: Deploy, test, and debug control policies on physical platforms, rapidly iterating on live teleoperation performance.

Advanced Academic Background: Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical Engineering, or a closely related field.

Proven Research Track Record: A strong publication history (e.g., ICRA, IROS, RSS, ToR) directly focused on whole-body manipulation, whole-body control, or teleoperation for humanoids or quadrupeds/manipulators.

Simulation Mastery: Proficient in setting up complex simulation environments (e.g., Isaac Sim/Gym, Mu Jo Co , Drake) for dynamic robotic tasks.

Software Competence: Strong programming skills in Python and/or C++ within a Linux development ecosystem.

Experience with VR-based teleoperation interfaces, haptic feedback devices, or exoskeleton-based human tracking.

Direct experience with real-time Linux environments () and low-level actuator communication loops.

Duration: 6 Months (with the potential for extension).

Environment: A high-velocity,R&D lab environment pushing the boundaries of physical AI.