Simulation Engineer

Insight Recruitment; Massachusetts; On-site; USD 110,000 - 160,000; Full time

Job summary

Insight Recruitment is partnering with a robotics company to hire a Simulation Engineer who will design and scale high-fidelity physics simulations for robotic manipulation research and deployment.

You will optimize GPU-based training infrastructure, improve contact dynamics accuracy, and build tools bridging simulation and real-world arm performance, collaborating with experts in robotics, AI, and physics-based simulation.

Qualifications

• Bachelor/Master/PhD in CS, robotics, or mechanical engineering.
• Strong C++ and Python in performance-critical environments.
• Experience with physics engines and robotics simulation platforms.
• Proven track record building scalable simulation systems.

Responsibilities

• Evaluate, benchmark, and enhance physics simulation engines.
• Develop and optimize large-scale GPU-accelerated simulation environments.
• Improve simulation fidelity for complex robotic manipulation tasks.
• Build automated tools to validate, calibrate, and optimize assets.

Skills

C++

Python

Education

Bachelor's degree

Master's degree

PhD

Tools

MuJoCo

Newton

Job description

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.

Responsibilities

• Evaluate, benchmark, and enhance physics simulation engines such as MuJoCo, 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

Required Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical Engineering, or a related technical discipline.
• Strong software development experience with C++ and Python 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