Software Engineer Intern (January 12th start, 23 weeks)
Intern
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NVIDIA
NewWe are now looking for a System Software Engineer to work in our Chip system software group. The best candidates will have excellent C/C++, a thorough understanding of operating systems and kernel programming, a good understanding of computer architecture. You will work closely with both hardware engineers and other software engineers to design, develop, and debug the diagnostic software stack used for CPU (Tegra / Vera) chips / products. You will also be heavily involved with interacting with various teams and writing various device drivers to produce high-quality, reliable diagnostic software that is extensively used both within NVIDIA and for the customer data center and automotive products that are used throughout the world.
What you’ll be doing:
Develop drivers and tests to see them through the full software development lifecycle.
Work with software engineers, hardware, and arch teams to implement and optimize features for the diagnostic solutions used for various system-on-chip (SOC) use cases.
Triage, debug, and implement fixes in the software stack.
Communicate efficiently with peers throughout the company, as well as customers and partners.
What we need to see:
BS or MS in EE/CS and 5+ years of industry related experience
Strong C/C++ programming skills.
Familiarity with SOC architecture, and ability to work close to the hardware.
Previous experience of working on a large modular system software code base is preferable.
Strong problem-solving and debugging skills.
Excellent communication and planning skills.
Ways to stand out from the crowd:
Have knowledge of Linux Kernel internals.
Solid understanding of ARM platforms
Experience working with diagnostic software solutions.
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 on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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