Research Engineer - Robot Learning

Job description

Job responsibilities

• Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
• Construct robotic simulation environments at scale and use it for RL training
• Process human data for robotic use cases
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Job requirements

• Hands-on experience in at least one of the following fields World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning
• VLA post-training, reinforcement learning
• Physics-aware reconstruction, deformable simulation
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training