Senior Robotics Simulation Engineer

Advanced Robotics Simulation Engineer 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 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 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. Experience Level Senior Level