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

• Bachelors or Masters 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.