12-Week Intern: Autonomous Vehicles & Robotics

Nvidia Corporation; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA offers a 12-week full-time internship in Autonomous Vehicles and Robotics. Interns work on projects with measurable impact and engage in hands-on experience across AI, vision, and robotics while collaborating with leading teams.

Ideal candidates are pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering with relevant coursework in C/C++, CUDA, ROS, Python, and Linux. Internship pay is hourly and varies by location and year in school.

Qualifications

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
• Anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
• Programming skills may include C, C++, CUDA, ROS, Python, OpenGL, Linux and sensing/AI tools.

Responsibilities

• 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 and in-vehicle tests.
• Work on system infrastructure and software platforms powering autonomous vehicles and robotics.

Skills

C

C++

CUDA

ROS

Python

OpenGL

Linux

LiDAR

Cameras

Radars

Education

B.S./M.S./Ph.D. in Electrical Engineering or Computer Engineering

Tools

TensorFlow

PyTorch

Job description

NVIDIA offers a 12-week full-time internship in Autonomous Vehicles and Robotics. Interns work on projects with measurable impact and engage in hands-on experience across AI, vision, and robotics while collaborating with leading teams.

Ideal candidates are pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering with relevant coursework in C/C++, CUDA, ROS, Python, and Linux. Internship pay is hourly and varies by location and year in school.