Robotics Simulation Engineer Kalyani Group

About Kalyani Group

Job Description

Job Title: Robotics Simulation Engineer Experience: 2-4 years Job Location: Bharat Forge, Mundhwa, Pune Work Mode: 5 Days WFO Job Overview We are looking for a highly technical Robotics Simulation Engineer with expertise in humanoid robotics and robotic arm simulation, focusing on motion planning, trajectory optimization, collision detection, Sim2Real adaptation, and AI-enhanced control architectures. The ideal candidate must have extensive experience in ROS2 MoveIt!, Orocos, NVIDIA Isaac Sim, Omniverse, Groot, RL-driven skill acquisition, and vision-language models (VLM) for autonomous humanoid behavior modeling. Key Responsibilities High-Fidelity Humanoid & Robotic Arm Simulation: Develop multi-body dynamics models with physics-driven humanoid locomotion, grasping strategies, dexterous manipulation, and adaptive actuator response control. Implement Sim2Real pipelines to ensure deep-learning-driven motion policies generalize across simulated and real-world humanoid platforms. Optimize multi-DOF inverse kinematics (IK) and forward kinematics (FK) models, refining dynamic humanoid limb movement. Advanced Motion Planning & Collision Avoidance: Design collision-aware trajectory generation algorithms leveraging ROS2 MoveIt! and Orocos, ensuring self-correcting humanoid motion behavior. Implement path planning strategies using Hybrid-A, RRT, PRM, TEB*, optimizing adaptive locomotion in complex environments. Develop real-time force-modulated control techniques, refining humanoid manipulation accuracy for tool handling and dexterous tasks. AI-Based Reinforcement Learning & Robotics Autonomy: Work on AI-enhanced humanoid behavior models, training humanoid robots using Reinforcement Learning (RL) frameworks for adaptive movement. Develop vision-language model (VLM)-driven humanoid intelligence, allowing AI agents to process contextual instructions for object manipulation and real-world interaction. Fine-tune policy-based motor skill acquisition, ensuring humanoids self-learn movement precision and grasp stability. ROS2, NAV2 & NVIDIA Ecosystem Integration: Architect ROS2-driven humanoid control stacks, integrating sensor-based navigation, SLAM, and dynamic motion execution. Leverage NAV2-based self-navigation, optimizing humanoid positioning in structured/unstructured terrains. Utilize CUDA acceleration for high-fidelity simulation, refining AI-powered physics-based humanoid modeling in Isaac Sim and Omniverse. Multi-Sensor Fusion & SLAM-Driven Perception: Model sensor fusion techniques, integrating LiDAR, depth cameras, IMU, force-torque sensors for real-time humanoid vision and manipulation accuracy. Deploy SLAM-driven mapping, ensuring real-time humanoid spatial awareness and environment interaction. Testing, Validation & Deployment Optimization: Conduct benchmark testing, refining humanoid real-time motor control response and trajectory stability. Debug AI simulation inconsistencies, improving hardware-software synchronization for autonomous humanoid deployment. Research & Technical Documentation: Maintain technical documentation, detailing humanoid motion planning architectures, reinforcement learning models, and sensor fusion techniques. Stay updated on next-gen advancements in humanoid intelligence, AI-driven locomotion algorithms, and multi-modal perception systems. Required Skills & Experience Expertise in multi-body dynamics, motion planning, and humanoid limb control strategies. Proficiency in ROS2, MoveIt!, Orocos, NAV2, CUDA acceleration, and AI-driven robotics intelligence frameworks. Deep understanding of humanoid gait generation, robotic arm manipulation, and compliant motion strategies. Hands-on experience in reinforcement learning (RL), VLM-powered humanoid AI training, and Sim2Real adaptation pipelines. Proficiency in simulation environments, including Gazebo, Isaac Sim, Omniverse, Groot. Experience integrating multi-sensor fusion methodologies (LiDAR, depth cameras, IMU, force sensors) within humanoid simulation workflows.,