NVIDIA’s invention of the GPU in 1999 fueled 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 most resourceful people in the world. Join us at the forefront of technological advancement.
What you'll be doing:
Base OS is the Linux platform used to enable both x86 and arm64 NVIDIA platforms. Your role as the Base OS Engineering Release Lead is to help drive Base OS across multiple programs and products.
Work closely with external partners and customers to capture their requests!
Partner with Hardware, Software, and Firmware development teams to align on deliverables and priorities.
What we need to see:
BS or Masters in computer science, or related field or equivalent experience.
5+ years of experience.
Excellent communication and planning skills.
Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES) is required.
Experience with complex system-level debugging is invaluable.
Solid understanding of GPU server architecture.
Ways to stand out from the crowd:
Understanding kernel development methodologies is recommended.
Experience writing software in GitHub with exposure to opensource development life cycle is desired.
Knowledge of NVIDIA technologies used within NVIDIA server products is another way to be highlighted.
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. If you're creative and autonomous, we want to hear from you!
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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.”
