System Software Intern
NVIDIA
System Software Intern
NVIDIA
Designs the chips and software that power AI
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
What you'll be doing:
Help craft and develop software features for our video accelerators in GPU.
Collaborate closely with software engineers through the whole feature development process.
Help develop tools that improve software quality and productivity.
Test hardware features for our video accelerators in GPU.
What we need to see:
Pursuing BS or MS in electrical engineering, computer science, or related field.
Excellent C/C++ programming skills.
Familiarity with computer system architectures and hardware/software interface layer models.
Strong desire to be a problem solver and experience with sophisticated system-level debugging is invaluable.
Excellent communication.
Ways to stand out from the crowd:
Knowledge and experience of firmware development.
Familiarity with video compression techniques, such as H.264/HEVC/AV1/AV2, etc.
Understanding of Windows and Linux internals.
Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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