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Internship Nvidia Robotics information

What types of projects do interns typically work on during a Robotics internship at Nvidia?

As a Robotics intern at Nvidia, you'll usually be assigned to real-world projects that contribute directly to the company's robotics initiatives, such as developing algorithms for autonomous systems, enhancing simulation environments, or testing robotics software on physical platforms. Interns often collaborate with experienced engineers and researchers, gaining hands-on experience with state-of-the-art hardware and AI frameworks. The projects are structured to provide both learning opportunities and meaningful contributions, allowing interns to develop technical skills while understanding industry workflows.

What is the difference between Internship Nvidia Robotics vs Robotics Engineer?

AspectInternship Nvidia RoboticsRobotics Engineer
Required CredentialsEnrolled in a related degree program, basic technical skillsBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering
Work EnvironmentInternship program at Nvidia, collaborative, research-focusedFull-time role in robotics development, engineering teams
Employer & Industry UsageNvidia, technology and AI industryVarious companies in robotics, automation, manufacturing
Common Search & Comparison IntentLearning about entry-level opportunities in Nvidia RoboticsUnderstanding career progression in robotics engineering

Internship Nvidia Robotics provides students with hands-on experience in Nvidia's robotics projects, focusing on learning and skill development. Robotics Engineer roles are full-time positions requiring advanced education and experience, involving designing, developing, and maintaining robotic systems. While internships are ideal for gaining industry exposure, engineering roles offer long-term career growth in robotics development.

What are Internship Nvidia Robotics positions?

Internship Nvidia Robotics positions are temporary roles offered by Nvidia for students or recent graduates interested in robotics and artificial intelligence. These internships provide hands-on experience working with cutting-edge robotics technology, including autonomous machines, computer vision, and machine learning. Interns collaborate with experienced engineers and researchers to solve real-world problems, contribute to ongoing projects, and sometimes publish research. The roles are ideal for those pursuing degrees in computer science, robotics, electrical engineering, or related fields, and offer exposure to Nvidia's unique tools and platforms.

What are the key skills and qualifications needed to thrive as an Internship Nvidia Robotics, and why are they important?

To thrive as an intern in Nvidia Robotics, you need a solid background in computer science, robotics, or engineering, with proficiency in programming languages like Python or C++. Familiarity with robotics frameworks (e.g., ROS), simulation tools, and version control systems, as well as coursework or certifications in AI or machine learning, are highly valued. Strong problem-solving skills, teamwork, and adaptability help you excel in collaborative and fast-evolving project environments. These competencies are crucial for contributing effectively to innovative robotics projects and gaining hands-on experience in an industry-leading technology company.
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Infographic showing various Internship Nvidia Robotics job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Power Architect - New College Grad 2026

Power Architect - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 8 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

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
What you'll be doing:
  • You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.
  • Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
  • Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
  • Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

What we need to see:
  • Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
  • Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
  • Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
  • Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
  • Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

Ways to stand out from the crowd:
  • A master's degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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.

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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