Senior Chip Design Verification Engineer
NVIDIA
Senior Chip Design Verification Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is looking for best-in-class Chip Design Verification Engineer to join our outstanding Networking Silicon Engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in verifying our ground-breaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.
What you’ll be doing:
Work as a Chip Design Verification Engineer as part of a combined design and verification team that develops front-end design for the Switch silicon, GPU and HCA.
Plan and Design Verification units/blocks according to Arch & Micro arch specifications under challenging constraints with high orientation to power, area, and performance.
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, and FW—interaction with organization-wide groups.
What we need to see:
Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.
4+ years of experience in RTL verification. Less experienced engineers with high university grades will also be considered
Experience in full and cluster-level verification is an advantage
Self-motivated, ability to work independently and drive tasks to completion
A great teammate with strong communication and interpersonal skills.
Ways to stand out from the crowd:
Knowledge in Specman, Verilog
Knowledge in Networking
Great interpersonal skills.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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