Robotics Engineer: Foundation Model Training
Core
Develop foundation models for robotic perception and action, focusing on generalization across tasks, environments, and embodiments.
Role type
Senior Research Engineer (Foundation Models & Robotics)
Builds
Scalable foundation models for physical AI and robotic behaviors
Domain
Robotics, Machine Learning, Computer Vision
Deliverable
production ML models
Required skills
Python, PyTorch, machine learning, robotics algorithms, robotics simulation platforms, inverse kinematics, dynamics, robotic manipulation, research design
Preferred skills
Vision-Language-Action models, world models, diffusion/flow-matching policies, transformers, reinforcement learning, imitation learning, large-scale pretraining, sim-to-real transfer
Technologies
PyTorch, NVIDIA Isaac Sim, Isaac Lab, MuJoCo, ManiSkill
Responsibilities
Formulate research hypotheses and design rigorous experiments; Develop and scale foundation models for perception and action; Leverage simulation and datasets for pretraining, post-training, and reinforcement learning; Scale simulation platforms for data generation; Advance generalization and robust spatial understanding; Improve sim-to-real transfer; Develop Auto-Engineering methods; Implement and communicate research as production-quality work
Seniority
Senior, hands-on IC
