System Software Engineer Intern - Autonomous Vehicles - 2025

3 Months ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA's Autonomous Vehicles team seeks interns to contribute to the development and productization of their automotive platform. Responsibilities include developing automotive vehicle system software for components like Diagnostics and Analytics Systems, Telemetry, Update & OTA, and middleware. Interns will analyze and optimize system performance, build tools to enhance efficiency, integrate software into vehicles, troubleshoot fleet issues, and collaborate with global engineering teams. The ideal candidate possesses proficiency in C/C++, experience with prototyping using various languages (Python/Shell), and excellent communication skills in a multinational environment. This internship offers an exciting opportunity to work on cutting-edge technology in the rapidly evolving field of self-driving cars.
Must have:
  • BS/MS in CS/CE/EE or related
  • Proficiency in C/C++
  • Software prototyping skills (Python/Shell)
  • Effective communication in multinational environment
Good to have:
  • Automotive industry experience
  • ADAS/AV knowledge
  • Embedded systems & RTOS understanding

Job Details

Our work at NVIDIA is dedicated to 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!

The Autonomous Vehicles team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. Work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have customers and competition.

What You'll Be Doing:

  • Develop automotive vehicle system software for components such as Diagnostics and Analytics Systems, Telemetry, Update & OTA, and middleware.

  • Analyze and optimize system performance, and conduct tests to improve system stability.

  • Build tools to enhance work efficiency and streamline processes.

  • Integrate full-stack software into vehicles, troubleshoot fleet issues, and collaborate with global engineering teams for debugging.

What We Need To See:

  • Pursuing a BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related program.

  • Proficiency in C/C++ programming languages.

  • The ability to build rapid software prototypes using diverse programming languages (Python/Shell/etc.).

  • The capability to effectively work and communicate in a multinational, multi-time-zone corporate environment.

Ways To Stand Out From The Crowd:

  • Prior experience in the automotive industry.

  • Familiarity with Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle functions and sensors.

  • Understanding of embedded systems and Real-Time Operating Systems (RTOS).

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! 

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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