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 are growing our company and the team with the most inquisitive people in the world! Would you like to contribute to pioneering Linux graphics driver software used in our GPUs? We would love to hear from you!
What you’ll be doing:
Design, develop and validate features, tests and/or bug fixes for our Linux Graphics Device drivers collaborating with fellow software engineers.
Work with other Linux graphics engineers in the team to design and develop high quality tests and tools.
Improve CI/CD pipelines and build test automation infrastructure that will improve overall developer experience.
Multiple opportunities to collaborate and communicate effectively with teams from all around the globe.
What we need to see:
BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree.
5+ years of meaningful software development experience in C programming skills as well as having shown initiative in pursuing independent coding projects.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
Experience with Linux KMD/UMD device driver system software
Experience with AI development tools used in creating test cases, automating test cases, code coverage, triaging.
Ways to stand out from the crowd:
Open source contributions to the Linux kernel and/or other large software projects
Linux core/display kernel and user mode device driver experience
Linux graphics experience with Vulkan/OpenGL etc. software stacks
Background and strength with complex system-level software debugging across functionality, performance, security, scalability issues
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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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.”
