Software Engineering Intern, Autonomous Vehicles (RDSS)

3 Months ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA is seeking 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 for the latest NVIDIA Drive AV platform. Responsibilities include investigating and developing new features for the Drive AV Infrastructure software and collaborating with global engineering teams. The ideal candidate will be pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or Software Engineering and possess strong C/C++ programming skills and networking knowledge. Experience with Python, embedded systems, and tools like Bazel, CMake, Git, and Docker is beneficial.
Must have:
  • C and C++ (11 or higher) development experience
  • Knowledge of networking concepts
  • Bachelor's or Master's in CS/EE/SE
  • Develop, integrate, optimize, and test software
Good to have:
  • Python experience
  • Embedded system knowledge
  • Linux, QNX, SafeRTOS, FreeRTOS, Autosar experience
  • Bazel, CMake, Git, Docker experience
  • CUDA, OpenDDS knowledge
Perks:
  • Competitive salaries
  • Generous benefits package

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.

  • Investigate and develop the new features of NVIDIA Drive AV Infrastructure software.

  • 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.

  • 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, OpenDDS

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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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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