Urgent! Robotics RL/DL Engineer Job Opening In India, India – Now Hiring Kalyani Group
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: • 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 Planning & Collision Detection: • Optimize collision-aware trajectory generation algorithms using Hybrid-A, RRT, PRM, TEB*, ensuring real-time corrective motion strategies.
• Develop ROS2 MoveIt! and Orocos-integrated policy models, refining trajectory optimization for tool handling and dexterous motion control.
• Train robotic arms on force-modulated grasp strategies, ensuring precision pick-and-place execution in dynamic environments.
Multi-Sensor Fusion & Neural SLAM in Robotics Simulation: • Model sensor fusion techniques, integrating LiDAR, depth cameras, IMU, force-torque sensors for neural SLAM-
driven manipulation.
• Utilize vision-language models (VLM) for task-driven robotic autonomy, enhancing semantic reasoning for self-correcting grasping strategies.
AI Simulation, Testing, Benchmarking & Deployment: • Conduct benchmark testing, validating RL-trained models against real-world execution consistency.
• Debug AI-driven robotic control inconsistencies, ensuring seamless synchronization across real-time hardware execution pipelines.
• Develop Sim2Real AI validation workflows, refining robotic arms' adaptability across varied manipulation tasks.
Research & Technical Documentation:
• Maintain technical documentation, detailing RL-based motion planning architectures, deep learning policy training methodologies, and neural SLAM integration techniques.
• Stay updated on cutting-edge advancements in AI-driven manipulation, RL-powered autonomous dexterity, and self-learning humanoid robotics.
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Unlock Your Robotics RL Potential: Insight & Career Growth Guide
Real-time Robotics RL Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Robotics RL in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3234 jobs in India and 214 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Robotics RL roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Kalyani Group is currently hiring and seeking a Robotics RL/DL Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Kalyani Group adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Robotics RL/DL Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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