Robotics RL / DL Engineer

Reinforcement Learning & Deep Learning for Robotic Arms

Location : Bharat Forge, Mundhwa, Pune

Job Type : Full-time

Experience Level : 3-6 Years

Industry : AI-Driven Robotics, Neural Network-Based Manipulation, Autonomous Dexterity Systems

Job Overview

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.

Deep Learning-Based Motor Control & Dexterity Optimization :

Advanced Motion Planning & Collision Detection :

Multi-Sensor Fusion & Neural SLAM in Robotics Simulation :

driven manipulation.

AI Simulation, Testing, Benchmarking & Deployment :

Research & Technical Documentation :