Apply to Robotics Consultant – Whole-Body Teleoperation & Control

Position Type: 6-Month Consulting Contract

Location: Wilmington, MA

• 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.  

The Mission

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 (Sim2Real) infrastructure required to bring a humanoid or high-DOF robot to life.

Core Responsibilities

• 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.

• Sim2Real & 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.

Technical Requirements (Must-Have)

• 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, MuJoCo, Drake) for dynamic robotic tasks.

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

Preferred Qualifications (Nice-to-Have)

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

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

Engagement Details

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

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