Senior AI Static Timing Analysis Engineer
NVIDIA
Senior AI Static Timing Analysis Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is looking for best-in-class Physical Design Engineers 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 part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
Perform advancedAIStatic Timing Analysis (STA) forcomplexchiplet andfull chiplevel.
AI use for timing optimization and data analysisin STA and PnR.
Runningand build STA tools for anlyaze and debugtiming.
UsetraditionalSTA toolslikePrime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.
Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.
Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.
What we need to see:
B.SC./ M.SC. in Electrical Engineering.
At least 5+ years of hands-on STA experience.
Experience in Prime Time and signoff methodologies.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.
Ways to stand out from the crowd:
Agentic Frameworks.
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
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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