Research Engineer - Robotic Hardware, Simulation and Data
Core
Design mechatronic systems for robotic hardware, construct large-scale simulation environments for reinforcement learning, and process human motion data to enable next-generation physical AI and autonomous systems.
Role type
Research Engineer (Robotic Hardware, Simulation, and Data)
Builds
Robotic simulation environments, data collection hardware setups, and mechatronic systems for autonomous vehicles and humanoid robots.
Domain
Robotics, Autonomous Driving, Computer Vision, Reinforcement Learning
Deliverable
production ML models | product features | research
Required skills
Python, PyTorch, Computer Vision, Robotics Systems, Distributed Machine Learning, Human Data Processing, Pose Estimation, SLAM, Deformable Object Simulation
Preferred skills
Humanoid robotics, General robotics, Self-driving application experience, MSc/PhD in ML/CV with autonomy focus
Technologies
Python, PyTorch, SLAM, RL frameworks
Responsibilities
Support robotic and data collection hardware setup and design mechatronic systems; Construct large-scale robotic simulation environments for RL training; Process human data for robotic use cases; Collaborate on research publications; Work with engineering teams to deploy end-to-end algorithms.
Seniority
Individual Contributor (Open to all years of experience, potential Tech Lead/Manager capacity)
