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Full Time Nvidia Robotics information

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$116.5K

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

As of Aug 27, 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 is a full time Nvidia Robotics job?

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 are the key skills and qualifications needed to thrive as a full time Nvidia Robotics engineer?

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 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.

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Full Time Nvidia Robotics jobs near you
Infographic showing various Full Time Nvidia Robotics job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

Full-time

Posted 8 days ago

Job description

By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Roboticsinternship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.


NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles and Robotics teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

Potential Internships in this field include:

Autonomous Vehicles

  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Robotics

  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

What we need to see:

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Internbenefits.

Applications are accepted on an ongoing basis.

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.
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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

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