Company: - Kalyani Group - Bharat Forge

Address: - Kalyani Building, Shree Towers, near Old Motor Stand, Bhawani Peth, Pune, Maharashtra 411042

Robotics RL Engineer

2-4 years

Reinforcement Learning & Deep Learning for Robotic Arms

? Location: [Specify Location] ? Job Type: Full-time ? Experience Level: [Specify, e.g., Mid/Senior] ? 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 energetic 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: • Work on neural network-driven control models, allowing robotic arms to self-learn adaptive grip forces, compliance, and motion refinement. • Apply transformer-based movement prediction algorithms, ensuring fluid and intelligent robotic motion sequencing. • Implement Sim2Real adaptation pipelines, transferring trained RL deep learning policies from simulation environments to real-world robotic execution.

? Advanced Motion Pl

📌 Robotics RL Engineer (Pune)
🏢 Stellaspire
📍 Pune