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Full Time Nvidia Robotics Jobs (NOW HIRING)

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

This is a full-time, onsite role is based at ICON's Austin, TX headquarters and will report to the ... Hands-on experience with NVIDIA Isaac Sim, Isaac Lab, or a comparable physics simulation platform ...

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Full Time Nvidia Robotics information

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

As of Jul 17, 2026, the average yearly pay for full time nvidia robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in a full-time Nvidia Robotics role, and how can they be addressed?

Professionals in a full-time Nvidia Robotics role often encounter challenges such as integrating cutting-edge AI algorithms with complex hardware, ensuring real-time performance, and collaborating across multidisciplinary teams. These challenges can be addressed by staying current with Nvidia's software frameworks, engaging in regular cross-team knowledge sharing, and actively participating in code reviews. Additionally, leveraging Nvidia's extensive documentation and internal resources helps to streamline troubleshooting and foster innovative problem-solving within the team.

What is the difference between Full Time Nvidia Robotics vs Full Time Nvidia AI Engineer?

AspectFull Time Nvidia RoboticsFull Time Nvidia AI Engineer
Required CredentialsBachelor's or higher in Robotics, Computer Science, or related fields; experience with robotics hardware and softwareBachelor's or higher in Computer Science, AI, or related fields; strong programming and machine learning skills
Work EnvironmentHands-on robotics labs, hardware integration, real-world testingSoftware development, algorithm design, data modeling
Employer & Industry UsageTech companies, research labs focusing on robotics applicationsTech firms, AI research centers, software companies

Full Time Nvidia Robotics roles focus on developing and testing robotic systems, requiring hardware and software skills. In contrast, Full Time Nvidia AI Engineer positions emphasize AI algorithm development and software engineering. Both roles demand strong technical credentials but differ in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as a Full Time Nvidia Robotics Engineer, and why are they important?

To thrive as a Full Time Nvidia Robotics Engineer, you need a solid background in robotics, computer science, and machine learning, typically with a relevant degree such as in engineering or computer science. Familiarity with technical tools like ROS (Robot Operating System), CUDA, Python/C++, and deep learning frameworks, as well as experience with Nvidia hardware and SDKs, is essential. Strong problem-solving abilities, teamwork, and effective communication are vital soft skills to excel in collaborative, cross-disciplinary projects. These skills and qualifications are crucial for developing innovative robotics solutions that leverage Nvidia's advanced technologies in a rapidly evolving field.

What are Full Time Nvidia Robotics jobs?

Full Time Nvidia Robotics jobs refer to professional positions at Nvidia that focus on developing, testing, and implementing robotics technologies. These roles may involve working on AI software, simulation platforms like Isaac Sim, robotics hardware integration, perception systems, and more. Employees in these positions typically collaborate with cross-functional teams to advance autonomous machines and robotics solutions using Nvidia's cutting-edge hardware and software. Candidates are often expected to have strong backgrounds in robotics, computer vision, machine learning, or related fields.
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Full Time Nvidia Robotics jobs near you
Robotics Software Engineer - Robot Simulation and Benchmarking

Robotics Software Engineer - Robot Simulation and Benchmarking

Nvidia

Santa Clara, CA

Full-time

Posted 15 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

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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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