Robotics Engineer: Foundation Model Training

General Robotics is building an intelligence platform for physical AI and robotics. The Robotics Engineer will develop foundation models for robotic perception and action, working across model architecture, large-scale training, reinforcement learning, simulation, and evaluation to create generalizable robotic behaviors. The role also involves designing experiments, scaling simulation and data-generation systems, improving sim-to-real transfer, and delivering production-quality research.

Responsibilities:

• Formulate research hypotheses and design rigorous experiments informed by deployment needs
• Develop and scale foundation models for robotic perception and action
• Leverage simulation and diverse datasets for pretraining, post-training, reinforcement learning, and evaluation
• Scale existing simulation platforms for data generation and reinforcement learning across heterogeneous scenes and tasks
• Advance generalization beyond demonstrated tasks and robust spatial understanding
• Improve sim-to-real transfer and reliability under real-world deployment constraints
• Develop Auto-Engineering methods for scalable and robust deployment
• Implement, evaluate, and clearly communicate research as reusable, production-quality work