NVIDIA 2026 Internships: Autonomous Vehicles and Robotics - US

at Nvidia
📍 Santa Clara, United States
USD 41,600-147,700 per year
USD 20-71 per hour
INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 3 Python @ 3 Data Structures @ 3 TensorFlow @ 3 PyTorch @ 3 CUDA @ 3

Details

NVIDIA offers 2026 internships within Autonomous Vehicles and Robotics teams. These are minimum 12-week, full-time internships where students work on projects with measurable business impact. NVIDIA seeks strategic, ambitious, hard-working, and creative individuals pursuing a Bachelor’s, Master’s, or PhD in a relevant field.

Responsibilities

  • Work on state-of-the-art deep neural networks for path generation and related tasks.
  • Collect training datasets and measure real-time inference runtimes using simulators/gyms and perform in-vehicle tests.
  • Build fundamental infrastructure and software platforms for robotics systems (Isaac platform mentioned) that power robots and applications.
  • Contribute to simulators, validation frameworks for deep learning, physics simulation, and system-level software (threads, processes, memory, synchronization).
  • Collaborate with teams on mapping, localization, SLAM, image processing, segmentation, and computer vision tasks.

Requirements

  • Must be actively enrolled in a university and pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related field for the entire duration of the internship.
  • Internship duration: minimum 12 weeks, full-time.
  • Depending on the internship role, prior experience or coursework could include:
    • Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation
    • Robotics, Autonomous Vehicles
    • Validation Frameworks for Deep Learning, Training Datasets
    • Operating Systems and Data Structures (threads, processes, memory, synchronization)
    • Physics Simulation, Simulators, Computer Graphics
    • Version Control, Cloud Technologies
  • Depending on the internship role, programming skills and technologies that could be required include: C, C++, CUDA, ROS, Python, OpenGL, Linux, sensor input devices (LiDAR, cameras, radars), and training frameworks such as TensorFlow, Keras, and PyTorch.

Compensation

  • Intern hourly rate range: 20 USD – 71 USD (pay depends on position, location, year in school, degree, and experience).

Benefits

  • Interns are eligible for NVIDIA intern benefits and student resources.

Application & Equal Opportunity

  • Applications are accepted on an ongoing basis; recruiters review resumes continuously.
  • NVIDIA is an equal opportunity employer and does not discriminate on the basis of protected characteristics.

Locations & Work Arrangement

  • This listing references US (California) locations, specifically Santa Clara, CA. Internship is full-time; work arrangement is not explicitly specified beyond location (default on-site for city-specified listings).