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NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

NVIDIA is hiring a NVIDIA 2027 Internships: Autonomous Vehicles and Robotics in Santa Clara, United States. It pays $20-$71/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions PyTorch, TensorFlow and Keras among its tools and skills.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

pytorchtensorflowkeras
computer-vision

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 expected hourly rate for this position 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.

How we rate this

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionPyTorchTensorFlowKeras

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of TensorFlow that you've run into, and how did you work around them?
  4. What's a project where you used Keras hands-on?

Adapt your resume

  • List these exact terms on your resume: Computer vision, PyTorch, TensorFlow, and Keras. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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