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Full Time Nvidia Engineering Jobs (NOW HIRING)

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 ...

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Full Time Nvidia Engineering information

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$46.5K

$146.9K

$174K

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

As of Jul 18, 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 engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at major technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for a software engineer at NVIDIA typically ranges from $100,000 to $150,000. Entry-level positions may start lower, while senior engineers with specialized skills or in high-cost areas can earn significantly more. Compensation often includes benefits such as bonuses, stock options, and health insurance.

Which engineers are hired by NVIDIA?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures and AI frameworks. The company values innovation and expertise in areas such as graphics, parallel computing, and machine learning.

How difficult is it to get hired at NVIDIA?

Getting hired for a full-time engineering role at NVIDIA is competitive, often requiring a strong technical background, relevant experience, and proficiency in skills such as programming, hardware design, or machine learning. The application process typically involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit.

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.

More about Full Time Nvidia Engineering jobs
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:
Robotics Software Engineer - Robot Simulation and Benchmarking

Robotics Software Engineer - Robot Simulation and Benchmarking

Nvidia

Santa Clara, CA

Full-time

Posted 16 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

In the NVIDIA Isaac team, we build tools that bring the power of the GPU to bear on one of today's grand challenges: physical AI. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where we all work together to advance the frontiers of accelerated computing.

We're looking for a Software Engineer to join our team to develop simulation tools built for scientists and companies that are using machine learning to solve the future of robotics! You'll join a team of robotics engineers who work at the intersection of simulation and machine learning. Our goal is to build the industry's leading tool for evaluating robot foundation models in simulation. This mission builds on NVIDIA's history of creating virtual worlds using its groundbreaking technology on photorealistic rendering and physics simulation technologies.

What you'll be doing:

  • Building simulation frameworks for training and evaluating robot foundation models on top of NVIDIA's Omniverse platform.

  • Working as part of a high-paced software engineering team: design/code reviews, testing, continuous integration, deployment.

  • Training and evaluating robot foundation models.

  • Integrating modern LLM and agentic workflows into simulation and robotics workflows.

  • Working with researchers to translate ideas from research into products that can scale to NVIDIA's user base.

  • Keeping up to date with the state-of-the-art in robotics research.

What we need to see:

  • MS or PhD in Computer Science, Robotics, or a related field (or equivalent experience).

  • 5+ years of full-time experience in robotics and/or simulation.

  • Experience in software design and working on a significant software project.

  • Proficiency using Python and development experience with deep learning software stacks (Pytorch, Jax, etc.).

Ways to stand out from the crowd:

  • Publications and/or projects that demonstrate excellence in moving the needle in the field of robotics.

  • Robot learning expertise with reinforcement learning and/or imitation learning,

  • Physics simulation expertise.

  • Experience with tools used in the NVIDIA robotics ecosystem (CUDA, warp, Isaac Lab, ROS).

  • Developing and maintaining open-source projects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


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