Robotics AI Engineer (VLA)

Job Description: Robotics AI Engineer (VLA)

Key Responsibilities

• Develop and deploy Vision-Language-Action (VLA) models for robots to enable task understanding, reasoning, and execution.

• Design and implement Reinforcement Learning (RL) and Imitation Learning (IL) pipelines for manipulation, locomotion, and multi-step task planning.

• Build and scale teleoperation data collection systems for training robot policies, including data curation and dataset optimization.

• Develop end-to-end learning pipelines from perception, policy and control for real-world deployment.

• Train and validate models in simulation and transfer them to real robotic systems (sim-toreal transfer).

• Collaborate closely with hardware, controls, and AI teams to ensure seamless deployment on production robots.

Required Skills

• Strong programming expertise in Python and C++

• Hands-on experience with Reinforcement Learning (RL) and Imitation Learning (IL) in robotics

• Experience with Vision-Language Models (VLMs) / VLA systems.

• Familiarity with robot manipulation, locomotion, and whole-body control

• Experience with teleoperation systems and dataset generation for robotics

• Strong understanding of robot perception, sensor fusion, and decision-making systems

• Experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow.