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.
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• 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, robotic software engineering, or related fields.
  
  

• 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.
  
  

• 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.