We are currently seeking an experienced Verification Engineer with strong CPU and verification fundamentals to work in NVIDIA's CPU verification team. NVIDIA builds CPUs that powering up the next generation AI and HPC workloads: https://www.nvidia.com/en-in/data-center/grace-cpu/
What you’ll be doing:
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Work 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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Work along with CPU architects in creating verifiable designs
What we need to see:
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Experience with 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
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Strong verification fundamentals and able to juggle working on full chip testbenches and on FPGA/Silicon
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Proficient in CPU architecture (ARM knowledge is desirable), Verilog, SystemVerilog and possess strong debugging skills.
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Bachelors/Masters or equivalent experience in Computer Science or electrical engineering from a reputed engineering college and 3+ years of industry experience
Ways to stand out from the crowd:
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Experience on CPU unit/microarchitecture verification
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Worked on complex coverage driven verification projects
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Experience of collaborating with geographically diverse cross-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 brilliant 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.
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.”
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