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Full Time Nvidia Engineering Jobs (NOW HIRING)

Nvidia

OR · On-site

$122.40K - $161.30K/yr

The near term focus is Project GR00T, NVIDIA's moonshot initiative at building foundation models ... Engineering, or a related field, or equivalent experience * 12+ years of full-time industry ...

Nvidia

OR

This full-time position involves collaborating closely with NVIDIA solution architects, business development leaders, and developer relations to support the company's growth objectives. What you'll ...

Nvidia

NALA Sales Development Manager

Santa Clara, CA

This full-time position entails establishing strong partnerships with NVIDIA's business development ... What we need to see: * BS or equivalent experience in Engineering, Computer Science, or a related ...

Nvidia

OR

This full-time position requires close working relationships with NVIDIA solution architects, business development leaders, and developer relations, to drive revenue for the company. This role ...

Nvidia

OR

This full-time position requires strong technical background and close working relationships with CSP organizations, NVIDIA Solution Architects, Business Units, and Developer Relations, to drive ...

Nvidia

OR

This full-time position requires close working relationships with NVIDIA solution architects, business development leaders, and developer relations, to drive revenue for the company. This role ...

Nvidia

Account Manager, Automotive

Santa Clara, CA

This full-time position requires close working relationships with NVIDIA solution architects and ... Educational degree related to technology, engineering, or AI/ML * Excellent listening skills and ...

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How much do full time nvidia engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for full time nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Nvidia Engineering vs Full Time Nvidia Software Developer?

AspectFull Time Nvidia EngineeringFull Time Nvidia Software Developer
Required CredentialsBachelor's or higher in Engineering, Computer Science, or related fieldsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentDesign, develop, and test hardware and system solutions at Nvidia facilitiesDevelop, test, and maintain software applications and tools for Nvidia products
Employer & Industry UsageNvidia hardware engineering teams, semiconductor industry

Full Time Nvidia Engineering roles focus on hardware design, system integration, and testing, requiring engineering credentials. In contrast, Full Time Nvidia Software Developer positions emphasize software development, coding, and application testing, often with similar educational backgrounds. Both roles are integral to Nvidia's innovation but differ in their core responsibilities and work environments.

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What cities are hiring for Full Time Nvidia Engineering jobs? Cities with the most Full Time Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Full Time Nvidia Engineering jobs? States with the most job openings for Full Time Nvidia Engineering jobs include:
What job categories do people searching Full Time Nvidia Engineering jobs look for? The top searched job categories for Full Time Nvidia Engineering jobs are:
Full Time Nvidia Engineering jobs near you
Infographic showing various Full Time Nvidia Engineering job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Senior Research Engineer, Simulation

Senior Research Engineer, Simulation

Nvidia

Santa Clara, CA

Full-time

Posted 5 days ago

Job description

NVIDIA is searching for a senior or principal engineer who specializes in physics simulation in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots.

You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.

What you will be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;

  • Experience at autonomous driving or humanoid robotics companies on physics simulation;

  • Hands-on experience with deploying and debugging neural network models on robotic hardware;

  • Expertise at reinforcement learning and neural network training;

  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment;

  • Contributions to popular open-source simulation frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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