Artificial Intelligence Engineer/Intern (VLA)

About the Role

Intuitive Research and Development Pvt. Ltd. (IRDPL) is seeking talented engineers and fresh graduates to develop Vision-Language-Action (VLA) models for intelligent robotic systems and Physical AI. The role involves core VLA model research, architecture development, multimodal learning, and connecting AI intelligence with real-world robotic actions.

Key Responsibilities

• Research and develop Vision-Language-Action (VLA) architectures.
• Integrate vision, language, and robotic action models.
• Develop multimodal models for visual perception and scene understanding.
• Translate natural-language instructions into robotic actions.
• Explore end-to-end learning for robotic manipulation and navigation.
• Work on imitation learning and reinforcement learning.
• Prepare and process robotic datasets, demonstrations, and action trajectories.
• Train, fine-tune, evaluate, and optimize VLA models.
• Explore real-time AI inference for robotic applications.
• Research Physical AI and embodied intelligence.

Requirements & Tech Stack

• Strong Python programming skills.
• Good understanding of Machine Learning and Deep Learning.
• Knowledge of Transformer architecture and Attention Mechanisms.
• Understanding of Computer Vision and Vision-Language Models.
• Familiarity with PyTorch and Hugging Face.
• Understanding of multimodal learning and neural network architectures.
• Basic knowledge of robotics, coordinate systems, and kinematics.
• Interest in core model training and architecture development.

Good to Have

• Familiarity with OpenVLA, RT-2, π0, Octo, or similar foundation models.
• Knowledge of Vision Transformers (ViT) and CLIP.
• Experience with Reinforcement Learning and Imitation Learning.
• Familiarity with ROS 2 and robotic simulation.
• Knowledge of NVIDIA Isaac Sim and GPU computing.
• Experience with robotic datasets and simulation-to-real transfer.

Qualifications

• B.E./B.Tech/M.Tech students, fresh graduates, or experienced candidates in AI/ML, Computer Science, Robotics, or related disciplines.
• Strong fundamentals in AI/ML and deep learning.
• Academic projects, research work, or personal implementations in AI/ML are preferred.
• Strong analytical, mathematical, and problem-solving skills.

What You'll Work On

• Core VLA model research and development.
• Vision-language understanding for robotic systems.
• Learning-based robotic action generation.
• Physical AI and embodied intelligence.
• Training intelligent models using robotic interaction data.
• Connecting AI models with real-world robotic hardware.