Simulation Engineer

Insight are partnered with an innovative robotics company developing advanced robotic arm systems for real-world industrial automation and intelligent manufacturing applications.

They are seeking a Simulation Engineer to design, enhance, and scale high-fidelity physics simulation environments that accelerate robotic manipulation research and deployment. The role will focus on improving simulation accuracy, optimizing GPU-based training infrastructure, and building tools that bridge the gap between simulation and real-world robotic arm performance.

This is a unique opportunity to play a key role in shaping the simulation stack that powers next-generation robotic manipulation systems, working alongside leading experts in robotics, AI, and physics-based simulation.

• Evaluate, benchmark, and enhance physics simulation engines such as Mu Jo Co , Newton, and other industry-leading frameworks
• Develop and optimize large-scale GPU-accelerated simulation environments to support high-volume robotics training and validation workloads
• Improve simulation fidelity for complex robotic manipulation tasks, ensuring accurate modeling of contact dynamics and real-world interactions
• Build automated tools and workflows to validate, calibrate, and optimize simulation assets, enabling robust and scalable development processes

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical Engineering, or a related technical discipline.
• Strong software development experience with C++ and Pyth
  on in performance-critical environments.
• Practical experience working with physics engines and robotics simulation platforms.
• Demonstrated success designing, building, and scaling high-performance simulation systems for robotics or related applications