The Advanced Robotics Simulation Engineer is responsible for designing, developing, and validating high-fidelity virtual environments and robotic simulation platforms. This role focuses on bridging the gap between simulated and real-world robotic deployment through automated simulation pipelines, reinforcement learning frameworks, ROS2 integration, and GPU-accelerated infrastructure. The ideal candidate will have strong expertise in robotics software development, simulation technologies, and contemporary AI-based robot training methodologies. The role requires close collaboration with hardware, controls, and software engineering teams to improve robotic performance and accelerate development cycles. **Simulation Development & Architecture** + Design, develop, and maintain high-fidelity robotic simulation environments using NVIDIA Isaac Sim and Isaac Lab. + Build and optimise sensor and actuator simulation pipelines for virtual testing and validation. + Develop scalable frameworks for robotic experimentation and performance evaluation. **Robot Learning & AI Training** + Implement and optimise physics-based reinforcement learning (RL) workflows using Isaac Gym and related frameworks. + Leverage robotics foundation models, including NVIDIA GR00T, to accelerate robot learning and autonomy development. + Evaluate and improve model performance through iterative training and validation. **Middleware Integration** + Develop, configure, and troubleshoot Robot Operating System 2 (ROS2) interfaces. + Ensure seamless communication and synchronisation between simulation environments and physical robotic systems. + Support simulation-to-hardware control mapping and system integration activities. **Automation & Scripting** + Develop modular and maintainable Python tools for simulation automation.



+ Automate Universal Scene Description (USD) asset import, scene generation, testing workflows, and domain randomisation processes. + Improve development efficiency through reusable automation frameworks. **Virtualisation & DevOps** + Build and maintain containerised simulation environments using Docker and related technologies. + Deploy and scale GPU-accelerated simulation workloads across local and cloud-based infrastructure. + Support continuous integration and deployment practices for simulation environments. **Sim-to-Real Enablement** + Collaborate with hardware and controls teams to reduce the gap between simulated and real-world robot performance. + Perform system identification, sensor noise modelling, and simulation calibration. + Validate simulation accuracy through physical testing and performance benchmarking. **Education** + Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Robotics Engineering, Computer Science, or a related discipline. **Experience** + 3 to 7 years of experience in robotics engineering, simulation platform development, robotic software engineering, or related fields. **Required Skills** + Strong programming experience in Python. + Hands-on experience with NVIDIA Isaac Sim and/or Isaac Lab. + Experience with Robot Operating System 2 (ROS2). + Knowledge of reinforcement learning concepts and robotic simulation workflows. + Experience with Docker and containerised application deployment. + Understanding of robotic sensors, actuators, and control systems. **Preferred Skills** + Experience with Isaac Gym and large-scale RL training. + Exposure to NVIDIA GR00T or robotics foundation models. + Experience deploying workloads on cloud-based GPU infrastructure. + Familiarity with Sim-to-Real methodologies and robotic system validation.

📌 Advanced Robotics Simulation Engineer (Chennai)
🏢 Ford Motor
📍 Chennai