Senior Research Engineer, Simulation

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Posted
146 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $290k
$105k most similar roles pay here $383k

This role pays more than 97% of similar roles. Most pay $134,125–$224,000 — the shaded band above. At the midpoint, this role pays about $290k versus about $179k 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 · Senior Research Engineer, Simulation

NVIDIA’s GEAR group seeks a senior or principal engineer to contribute to Project GR00T, focusing on building foundational technology for humanoid robots. In this role, you will develop and maintain simulation environments using frameworks like MuJoCo and Isaac Lab, implement control algorithms and XR interfaces, optimize GPU-based physics simulators, and deploy learned models to physical robots. Essential skills include a degree in Computer Science, Robotics, or Engineering, 10+ years of industry experience with physics simulators such as MuJoCo or Isaac Sim, and expertise in state-of-the-art simulation techniques and Gym-style APIs for neural network training. Ideal candidates also have hands-on experience with reinforcement learning, deploying models on robotic hardware, and leading robotics engineering teams. This position offers the opportunity to work at the cutting edge of robotics research and development, addressing complex challenges in large-scale robot learning and physical simulation.

What you'll do

  • Develop and maintain physics-based simulation environments using MuJoCo and Isaac Lab.
  • Implement and test control algorithms for simulated robots in XR teleoperation interfaces.
  • Create procedural generation pipelines for diverse robotic training scenarios.
  • Optimize GPU performance for large-scale physics simulations in robotics research.
  • Validate robot assets in USD format to ensure effective sim2real model transfer.
  • Deploy learned models from simulation to physical robots using Sim2Real pipelines.

What we're looking for

  • Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or related field.
  • 10+ years of industry experience in robotics and physics simulation.
  • Expertise with physics simulators like MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
  • Deep knowledge of state-of-the-art simulation techniques for accurate contact dynamics and photorealistic rendering.
  • Experience generating simulation assets and Gym-style APIs for neural network training.

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