We are seeking software engineers to work on the architecture of NVIDIA GPU Diagnostic SW. Our charter is to develop the most demanding applications a GPU or high-performance computing server will encounter in its lifecycle, working closely with kernel driver team, GPU architecture team, system design team, and manufacturing organizations.
The best candidates will have strong C++ programming skills, detailed knowledge of device programming, algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.
What you'll be doing:
Working closely with architecture, hardware and driver teams through the product development lifecycle of CPU and GPU.
Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.
You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and kernel driver extensions.
This job will require a deep understanding of our hardware and software architectures.
What we need to see:
BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
5+ years experience in a related hardware/software position
Strong C/C++ programming skills
Familiarity with computer architecture, and ability to work close to the hardware
Background with kernel driver usage and programming are a plus
Previous experience of working on a large system software code base is preferable
Very strong problem solving and debugging skills
Ability to self-manage, show leadership, and have good interpersonal skills
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
You will also be eligible for equity and benefits.
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.”
