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 are looking to grow our company, and grow our teams with the smartest people in the world.
What you’ll be doing:
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You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms
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Implement power and thermal management software features in Linux Kernel and user space
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Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization
What we need to see:
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MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major
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Software development experience with a significant focus on Linux
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Excellent C programming/debugging skills within Linux kernel and user space software
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Background with working on embedded systems and ARM processor specific
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System-level debugging experience and problem-solving skills
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Excellent communication skills
Ways to stand out from the crowd:
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Experience in working with the Linux and open-source software communities
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Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, suspend to RAM), factors influencing power efficiency at chip and platform.
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.
Top Skills
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
