Robotics AI Engineer (VLA)

Job Description: Robotics AI Engineer (VLA)

Key Responsibilities:

• Develop and deploy Vision-Language-Action (VLA) models for robots to enable taskunderstanding, reasoning, and execution.
• Design and implement Reinforcement Learning (RL) and Imitation Learning (IL) pipelinesfor manipulation, locomotion, and multi-step task planning.
• Build and scale teleoperation data collection systems for training robot policies, includingdata curation and dataset optimization.
• Develop end-to-end learning pipelines from perception, policy and control for real-worlddeployment.
• Train and validate models in simulation and transfer them to real robotic systems (sim-to real transfer).
• Collaborate closely with hardware, controls, and AI teams to ensure seamless deployment onproduction robots.

Required Skills:

• Strong programming expertise in Python and C++
• Hands-on experience with Reinforcement Learning (RL) and Imitation Learning (IL) inrobotics
• 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.

Benefits:

• Provident Fund

Work Location: In person