Robotics Engineer: Foundation Model Training

Job description

Job 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.

Job requirements

• Bachelor's degree in Computer Science, Robotics, a related technical field, or equivalent practical experience.
• Research or applied experience in machine learning, robotics, or computer vision.
• Strong Python programming skills and experience with PyTorch.
• Experience developing and evaluating machine-learning models or robotics algorithms.
• Experience with at least one robotics simulation platform.
• Familiarity with inverse kinematics, dynamics, and robotic manipulation.
• Demonstrated research ability through publications, substantial research contributions, or equivalent industry work.
• Must obtain and maintain work authorization in the country of employment.