Chip Design Verification Engineer
NVIDIA
Chip Design Verification Engineer
NVIDIA
Designs the chips and software that power AI
We are looking for a Chip-Design Verification Engineer to join our Switch Silicon team. As a Chip Design Verification 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 and verification team that develops the front-end design for the Switch silicon and the GPU.
Develop verification components and reference models, as well as verify and simulate chip blocks according to specifications under challenging constraints with a high orientation to power, area, and performance.
Work closely with multiple teams within organizations such as Architecture, Micro- Architecture and FW.
What we need to see:
Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.
Completion of programming and logic design courses with high scores.
3-5 years of experience in RTL verification.
A team player with good communication and interpersonal skills.
NVIDIA has 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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