NVIDIA

NVIDIA

Posted via Workday

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

Posted Aug 19, 2026

Role at a glance

Salary
$20 – $71/hr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Internship
Experience
Course or internship experience related to the following areas could be required
Education
Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a...

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Role Summary

AI-generated

NVIDIA’s 12-week full-time internships support its Autonomous Vehicles and Robotics teams. Interns work on projects involving autonomous driving, robotics infrastructure, software platforms, simulation, and deep learning with measurable business impact.

What You'll Do

  • Develop and train deep neural networks for path generation.
  • Collect training datasets and real-time inference runtimes using simulators or gyms.
  • Perform in-vehicle tests.
  • Build fundamental infrastructure and software platforms for systems powered by Isaac.
  • Work on robotics software systems supporting robots and applications.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Must be actively enrolled for the full duration of the internship in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field. An anticipated graduation date with month and year must be indicated on the resume or CV.

Required

  • Active university enrollment for the full duration of the internship
  • B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field
  • Anticipated graduation date with month and year indicated on a resume or CV

Preferred

  • Computer Vision
  • Mapping
  • Localization
  • SLAM
  • Image Processing
  • Segmentation
  • Robotics
  • Autonomous Vehicles

Original job description

Content provided by the employer

By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Robotics internship 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 Intern benefits.

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.