: 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

- Robust 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

📌 Robotics AI Engineer (VLA) (Anna Salai)
🏢 Doozy Robotics Pte.
📍 Anna Salai