Senior Research Engineer, Simulation at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field
10+ years of full-time industry experience on robotics and/or physics simulation
Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo
Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception
Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training

Responsibilities

Develop and maintain simulation environments built on frameworks like MuJoCo, and Isaac Lab to support robotics research
Implement and test control algorithms and XR teleoperation interfaces for simulated robots
Build procedural generation pipelines for diverse environments, object layouts, and robot motions
Optimize GPU-based physics simulator performance for large-scale training workloads
Import, configure, and validate robot assets in USD format, ensuring successful sim2real transfer
Implement Sim2Real pipelines and deploy learned models to physical robots

Skills

Key technologies and capabilities for this role

MuJoCoIsaac LabIsaac SimPyBulletDrakeGazeboUSDGymSim2RealGPU optimizationprocedural generationXR teleoperationcontrol algorithmscontact dynamicsphotorealistic rendering

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 224,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What are the key required skills and experience for this role?

Candidates need a Bachelor’s degree or above in Computer Science, Robotics, Engineering, or related field, 10+ years of full-time industry experience in robotics and/or physics simulation, proven experience with physics simulators like MuJoCo or Isaac Sim, deep knowledge of simulation techniques, and expertise in generating simulation assets and Gym-style APIs.

What is the team and culture like at NVIDIA's GEAR group?

You will work with an amazing and collaborative research team that produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation, as part of Project GR00T for humanoid robots.

What makes a candidate stand out for this Senior Research Engineer role?

Stand out with a Master’s or PhD, experience at autonomous driving or humanoid robotics companies, hands-on deployment of neural network models on hardware, expertise in reinforcement learning, Tech Lead experience, or contributions to open-source simulation frameworks and top-tier publications.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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