Circuit Design Methodology CAD Engineer
NVIDIA
Circuit Design Methodology CAD Engineer
NVIDIA
Designs the chips and software that power AI
Circuit Design Methodology/CAD Engineer will drive next-generation design productivity for high-performance low-power circuit development. This role will define, build, and scale AI-enabled methodologies and workflows that improve design quality, shorten development cycles, increase engineering efficiency across circuit design teams, contributing to NVIDIA's state-of-the-art products.
The ideal candidate combines strong circuit design fundamentals with a passion for methodology and emerging AI-assisted design workflows. They will work closely with circuit designers, layout designers, and cross-functional methodology teams to identify bottlenecks, develop scalable solutions, and accelerate adoption of modern design practices.
What You’ll Be Doing
What We Need to See
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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