Software Engineering Intern - Autonomous Vehicles

2 Months ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA seeks a Software Engineering Intern for its Autonomous Vehicle product team. The intern will develop, integrate, optimize, and test NVIDIA Drive AV stack software, participating in the full system development lifecycle. This role involves working with global engineering teams on the latest NVIDIA Drive AV platform. Responsibilities include contributing to the end-to-end DRIVE AV SW stack solution. The ideal candidate possesses a CS/EE, robotics, or related background.
Must have:
  • Bachelor's/Master's in CS/EE/related field
  • C/C++ (11 or higher) development experience
  • Networking concepts knowledge
  • Develop, integrate, optimize, and test software
Good to have:
  • Python experience
  • Embedded systems knowledge
  • Linux, QNX, SafeRTOS, FreeRTOS, Autosar experience
  • Bazel, CMake, Git, Docker experience
  • CUDA knowledge
  • LLM/VLM implementation knowledge

Job Details

We are now looking for a software engineering intern for the Autonomous Vehicle product team.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun. We are proud that NVIDIA is playing a significant role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world. In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE AV software. Our team, in particular, is responsible for delivering DRIVE AV SW stack solution from E2E. We are seeking engineers with a background in CS/EE, robotics and other related areas.

What you'll be doing:

  • Develop, integrate, optimize, and test NVIDIA Drive AV stack software.

  • Participate in the full system development life cycle and work for the latest NVIDIA Drive AV platform.

  • You will work with NVIDIA engineering teams worldwide.


What we need to see:

  • Pursuing Bachelor's or Master's in Computer Science, Computer Engineering, Software Engineering or equivalent program.

  • C and C++ (11 or higher) development experience

  • Knowledge and familiarity with networking concepts

  • Experience with Python is a plus

  • English proficient.


Ways to stand out from the crowd:

  • Embedded system, SW/HW cross-domain knowledge.

  • Experience with Linux, QNX, SafeRTOS, FreeRTOS, Autosar. 

  • Background with tools such as Bazel, CMake, Git, and Docker. 

  • Knowledge of the CUDA 

  • Knowledge in implementing LLM/VLM


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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