About the job
We are seeking to hire research engineers for robot dexterous manipulation with the goal of developing dexterous manipulation systems at human-level performance. Our strategy focuses on a real2sim2real pipeline that learns from large scale human videos and leverage simulation and reinforcement learning to bridge the human-to-robot embodiment gap.
Responsibilities
Learning dexterous manipulation: Design and implement robot learning algorithms for manipulation
Leverage vision models to extract 3D hand-object manipulation information from real-world situations
Develop large-scale real2sim2real pipeline for dexterous manipulation
Multimodal Sensor Fusion: Integrate tactile sensing, proprioception and vision into the learning pipeline
Qualifications
Minimum
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Bachelor's degree in computer science or equivalent
Preferred
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience with robotic manipulation
Experience/knowledge developing RL for manipulation
Experience with extracting human manipulation from large scale video and/or mocap data