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 solid expertise in robotics software development, simulation technologies, and modern 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 randomisatio
📌 Advanced Robotics Simulation Engineer (Chennai)
🏢 Ford Motor
📍 Chennai
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