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Full Time Nvidia Robotics Jobs (NOW HIRING)

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 ...

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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$84K

$96K

$116.5K

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

As of Jun 5, 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 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 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 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.

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.

More about Full Time Nvidia Robotics jobs
What cities are hiring for Full Time Nvidia Robotics jobs? Cities with the most Full Time Nvidia Robotics job openings:
What are the most commonly searched types of Nvidia Robotics jobs? The most popular types of Nvidia Robotics jobs are:
What states have the most Full Time Nvidia Robotics jobs? States with the most job openings for Full Time Nvidia Robotics jobs include:
Infographic showing various Full Time Nvidia Robotics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Senior Research Engineer, Robotics Systems

Senior Research Engineer, Robotics Systems

Nvidia

Santa Clara, CA โ€ข On-site

$122K - $167K/yr

Full-time

Posted 22 days ago


Job description

NVIDIA is searching for a senior or principal engineer who specializes in robotics systems 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 physics 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:

  • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;

  • Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;

  • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;

  • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;

  • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;

  • Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.

What we need to see:

  • A Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience; advanced degrees are helpful.

  • 8+ years of full-time industry experience in robotics hardware or software full-stack;

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

  • Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;

  • Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).

  • Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.

  • Physically work on-site at NVIDIA HQ on all business days.

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 real hardware deployment;

  • Experience in robot hardware design;

  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 10, 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