Simulation Engineer, Industrial Physics and Robotics

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k

This role $236k

$106k most similar roles pay here $307k

This role pays more than 85% of similar roles. Most pay $126,800–$210,112 — the shaded band above. At the midpoint, this role pays about $236k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

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At a glance

TL;DR · Simulation Engineer, Industrial Physics and Robotics

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Join our team as a senior technical leader to enhance the engineering simulation stack for robotics, automation, and industrial digital twins. You will design and develop physically based simulation systems, collaborating closely with teams across NVIDIA’s advanced platforms like PhysX, Newton, Omniverse, Isaac Sim, and Isaac Lab to integrate high-fidelity capabilities. Key responsibilities include improving multibody dynamics, contact and friction models, flexible-body behavior, and numerical solvers while integrating these simulations with robotics workflows involving ROS 2, CAD pipelines, and OpenUSD assets. You will also mentor engineers and drive technical leadership in scaling simulation algorithms on GPUs. Ideal candidates have a strong background in Computer Science or related fields, extensive experience building production-level simulation software, deep knowledge in multibody dynamics and numerical solvers, and proficiency with robotics integration tools like ROS 2 and Simulink. Experience with GPU-accelerated computing and reinforcement learning is highly valued.

Skills

ROS 2 CUDA GPU Python C++ OpenUSD CAD URDF MJCF Simulink Simscape Reinforcement learning CI/CD Omniverse PhysX Isaac Sim Isaac Lab FEM Numerical solvers Multibody dynamics

What you'll do

Design and develop physically based simulation systems for robotics and automation.
Improve methods for multibody dynamics, contact and friction, flexible-body behavior, and numerical solvers.
Integrate simulation with robotics workflows involving ROS 2, CAD pipelines, and OpenUSD assets.
Validate simulators against physical systems using test correlation and calibration techniques.
Scale advanced simulation algorithms on GPUs and mentor engineers in technical leadership.

What we're looking for

8+ years of experience building or leading simulation software used in engineering, robotics, or related fields.
Deep expertise in multibody dynamics, contact and friction, flexible-body behavior, numerical solvers, and model reduction.
Proven ability to validate simulators against physical systems using test correlation, calibration, and HIL/SIL workflows.
Strong proficiency with ROS 2, Simulink, Simscape, CAD, URDF, MJCF, and OpenUSD for robotics-system integration.
Experience in GPU-accelerated computing technologies like CUDA or Warp for large-scale simulation systems.
Publications in ICRA, IROS, RSS, SCA, SIGGRAPH, NeurIPS, or related venues demonstrating technical leadership.

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