Robotics Simulation Engineer – Digital Twins

Noble Machines; Sunnyvale (CA); On-site; USD 170,000 - 400,000; Full time

Job summary

Noble Machines in Sunnyvale, CA is seeking a Simulation Engineer to build digital twins and simulation environments for robotics research and industrial applications. You will own simulation assets, evaluate sim-to-real gap, and collaborate with hardware, learning, and evaluation teams to push performance.

Ideal candidates have hands-on experience with Isaac Sim, Omniverse, MuJoCo, and USD/URDF workflows, plus a track record of optimizing 3D assets and ensuring stable, scalable simulations for

Qualifications

• Experience building digital twins, simulation assets, or physically interactive environments for robotics or industrial simulation.
• Familiarity with collision detection and how physical parameters affect behavior and performance.
• Experience optimizing 3D assets and scenes for runtime use, including mesh complexity and textures.

Responsibilities

• Build simulation-ready robot parts, tools, and scenes from CAD and scans.
• Develop collision representations balancing accuracy, stability, and computation.
• Own measurement of the sim-to-real gap; calibrate mass, inertia, friction, and collision models.
• Own measurement of the perception sim-to-real gap; guide camera configuration for learning.
• Profile physics and rendering to optimize budgets, asset reuse, and throughput.
• Develop programmable task environments, scene variations, and reset logic for training.
• Automate asset import, conversion, and validation across pipelines.

Skills

Digital twins

Robotics simulation

3D geometry

Rigid-body dynamics

Coordinate transforms

Sim-to-real analysis

Tools

Isaac Sim

Omniverse

MuJoCo

USD

URDF

Blender

Houdini

Job description

Noble Machines in Sunnyvale, CA is seeking a Simulation Engineer to build digital twins and simulation environments for robotics research and industrial applications. You will own simulation assets, evaluate sim-to-real gap, and collaborate with hardware, learning, and evaluation teams to push performance.

Ideal candidates have hands-on experience with Isaac Sim, Omniverse, MuJoCo, and USD/URDF workflows, plus a track record of optimizing 3D assets and ensuring stable, scalable simulations for