Robotics Research Engineer, Robot Simulation and Evaluation

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 24 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k

This role $236k

$141k most similar roles pay here $303k

This role pays more than 74% of similar roles. Most pay $168,912–$241,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $205k for comparable roles.

Based on 240 similar postings.

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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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Robotics Research Engineer, Robot Simulation and Evaluation

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As a Robotics Research Engineer - Robot Simulation and Evaluation on the Isaac team, you will develop simulation frameworks for training and evaluating robot foundation models on the Omniverse platform. You will drive cross-team collaboration between product engineering and research to translate research ideas into Isaac Lab Arena capabilities while integrating modern LLM and agentic workflows into robotics systems. Your daily work involves designing and implementing novel algorithms for robot learning, setting evaluation standards, and participating in software engineering practices like design reviews and continuous integration. The role requires expertise in Python and deep learning stacks such as PyTorch or Jax. You will solve technical challenges at the intersection of simulation and machine learning to build tools for evaluating foundation models using GPU-accelerated physics engines like PhysX, Isaac Gym, or Newton within the NVIDIA robotics ecosystem.

Skills

Python PyTorch JAX Isaac Lab CUDA PhysX ROS Machine Learning Reinforcement Learning Imitation Learning LLM Physics Simulation Simulation Frameworks

What you'll do

Build simulation frameworks for training and evaluating robot foundation models on the Omniverse platform.
Design, implement, and evaluate novel algorithms for robot learning in partnership with research teams.
Translate research ideas into scalable product capabilities within the Isaac Lab Arena.
Define technical architecture and establish evaluation standards for robotics software.
Integrate modern LLM and agentic workflows into simulation and robotics pipelines.
Perform high-quality software engineering tasks including design reviews, testing, and continuous integration.
Drive adoption of tools among research users by bridging the gap between research and product teams.

What we're looking for

PhD degree in Computer Science, Robotics, or a related field (or equivalent experience).
8+ years of relevant industry or post-degree research engineering experience in robotics, simulation, or robot learning.
Proven track record of software design and translating research prototypes into production-ready software platforms.
Proficiency using Python and development experience with deep learning software stacks like PyTorch or Jax.
High-impact publications at top robotics and machine learning venues (preferred).
Robot learning expertise with reinforcement learning and/or imitation learning (preferred).
Deep expertise in GPU-accelerated physics simulation engines such as PhysX, Isaac Gym, or Isaac Lab (preferred).
Experience with NVIDIA robotics ecosystem tools like CUDA, warp, Isaac Lab, or ROS (preferred).