Senior Chip Design Verification Engineer
NVIDIA
Senior Chip Design Verification Engineer
NVIDIA
Designs the chips and software that power AI
We are now looking for a Senior Chip Design Verification Engineer to join our Switch Silicon team.As a Chip Design Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
What You'll Be Doing:
Work in a design/verification team which develops core units within the Switch silicon.
Micro-architecture of dynamic verification environments planning for units and modules.
Design dynamic verification environments of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.
Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW.
What We Need To See:
Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience.
5+ years of experience in RTL design/dynamic verification.
Knowledge in network protocols and/or HPC and distributed calculations - advantage.
A team player with good communication and interpersonal skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.
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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