Advanced Robotics Simulation Engineer

Role Overview

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.

Responsibilities

• 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.
• 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.
• Develop, configure, and troubleshoot ROS2 interfaces.
• Develop modular and maintainable Python tools for simulation automation.
• Automate USD asset import, scene generation, testing workflows, and domain randomisation processes.
• Build and maintain containerised simulation environments using Docker.
• Deploy and scale GPU-accelerated simulation workloads across local and cloud-based infrastructure.
• Collaborate with hardware and controls teams to reduce the gap between simulated and real-world robot performance.

Requirements

• Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Robotics Engineering, Computer Science, or a related discipline.
• 3 to 7 years of experience in robotics engineering, simulation platform development, or robotic software engineering.
• Strong programming experience in Python.
• Hands-on experience with NVIDIA Isaac Sim and/or Isaac Lab.
• Experience with 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.

Skills

• Python
• ROS2
• NVIDIA Isaac Sim
• Docker
• Reinforcement Learning