Research Engineer, Robotics

Highlights

• Build unified software interface spanning simulation and physical robots.
• Bring up new robotic platforms and wearables for research in Cambridge lab.
• Connect teleoperation and logging to capture demonstrations for model training.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

Robotics-minded engineer who loves bridging sim and real hardware and making platforms research-ready. You thrive in lab collaboration and care about reliable, real-world AI robotics.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Robotics, or equivalent practical experience
• 3 years of experience developing, integrating, and debugging software for simulated and physical robotic systems
• Experience with physics simulation environments (such as MuJoCo, NVIDIA Isaac Sim, or Gazebo) for modeling robots, testing software stacks, or validating sim-to-real transfer
• Experience integrating sensor streams (cameras, IMUs, encoders, or tactile sensors), actuator interfaces, and real-time control loops into a robotics software stack
• 5 years of experience building core components of a robotics software stack, SDK, or hardware abstraction layer (preferred)
• Experience developing, deploying, or running machine learning policies (such as Vision-Language-Action models or reinforcement learning controllers) on physical robots (preferred)
• Experience with system identification, actuator and sensor modeling, or closing the sim-to-real gap for manipulation or locomotion (preferred)
• Experience with teleoperation systems, motion tracking hardware, wearable data collection devices, or multi-fingered dexterous hands (preferred)
• Experience designing automated calibration verification, system health monitoring, or hardware-in-the-loop (HIL) test pipelines (preferred)