2.0 - 7.0 years

5 - 15 Lacs

Pune

Work from Office

We are looking for a highly technical Robotics Simulation Engineer specializing in reinforcement learning (RL) and deep learning for robotic arms . The ideal candidate should have strong expertise in learning-based motion planning, grasp adaptation, real-time trajectory optimization, and AI-powered dexterous manipulation . This role requires proficiency in ROS2 MoveIt!, Orocos, NVIDIA Isaac Sim, Omniverse, Groot, RL-based control models, policy optimization, and Sim2Real AI adaptation strategies to push the boundaries of robotic autonomy and self-learning dexterity . Key Responsibilities Reinforcement Learning for Robotic Manipulation: • Develop Deep Reinforcement Learning (DRL)-based policies for robotic arm dexterity, training models on high-dimensional action spaces for grasping and force adaptation . • Implement self-learning policy gradient optimization for improving robotic decision-making in dynamic task execution . • Train RL-based inverse kinematics (IK) models , enabling real-time trajectory correction and adaptive grasping strategies .

Posted 3 weeks ago

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