Simulation Engineer

Required

• Experience building digital twins, simulation assets, or physically interactive environments for robotics, industrial simulation, or comparable applications.
• Practical understanding of collision detection and contact modeling, including how collision geometry, physical parameters, and solver settings affect behavior, stability, and performance.
• Experience optimizing 3D assets and scenes for runtime use, including mesh complexity, materials, textures, rendering cost, and memory consumption.
• Hands-on experience with Isaac Sim, Omniverse, MuJoCo, or a comparable physics-based simulation platform. Familiarity with USD and robot descriptions such as URDF, or equivalent formats and workflows.
• Solid understanding of 3D geometry, coordinate transforms, rigid-body dynamics, and articulated systems, with the ability to diagnose incorrect geometry, inertial properties, joint configuration, and contact behavior.
• Working understanding of how simulation supports robot learning and evaluation, and the judgment to choose the level of visual and physical fidelity a task needs.
• Especially relevant experience
• Contact-rich manipulation, grasping, articulated mechanisms, or robotics simulation.
• Isaac Lab, PhysX, scene generation, or synthetic data pipelines with configurable cameras and annotations.
• CAD conversion, photogrammetry, scene reconstruction, or asset processing with Blender, Houdini, or similar tools.
• Simulation used for imitation learning or reinforcement learning, including randomized environments and parallel rollouts.
• Share your resume and up to two representative simulation projects, asset pipelines, or interactive demonstrations. Describe the parts you owned, how you validated physical or visual fidelity, and a performance tradeoff you measured. Examples that show collision geometry and runtime behavior alongside the visual result are especially useful. Apply through our job board or email people@noblemachines.ai.