We are currently seeking a Senior Verification Engineer with strong CPU/Soc and verification fundamentals to work in NVIDIA's CPU verification team. NVIDIA builds CPUs that power the coming wave of self-driving cars with high end SoCs such as Xavier (https://blogs.nvidia.com/blog/2016/09/28/xavier/). Xavier has a custom "Denver" class CPU which provides high end performance while being aligned with automotive standards such as ISO26262.
What you’ll be doing:
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Work alongside brilliant engineers on NVIDIA's next generation CPU
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Verify micro-architecture/architecture features at unit level or subsystem or full chip testbenches including FPGA/Silicon
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You will work with CPU architects in creating verifiable designs.
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Working on full stack development - from verifying sequences at SW simulator level, to getting the overall end-to-end sequence working on silicon with a full sw stack.
What we need to see:
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Strong verification fundamentals and are able to juggle working on SW simulators vs working on silicon
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Proficiency in CPU architecture (ARM knowledge is desirable), Verilog, System Verilog and possess strong debugging skills.
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3+ years of experience with Bachelors/Masters in Computer Science or Electronics Engineering or equivalent experience
Ways to stand out from the crowd:
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Worked on various pieces of CPU unit/microarchitecture verification
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You have worked on complex coverage driven verification projects
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Experience of collaborating with geographically diverse multi-functional teams
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and talented people in the world working for us and, due to unprecedented growth, our best-in-class 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.
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.
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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.”
