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NVIDIA

Designs the chips and software that power AI

Senior AI Static Timing Analysis Engineer - Sub-chip

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Electrical Engineering is required.
  • At least 5 years of hands-on static timing analysis experience is required.
  • Experience with PrimeTime and signoff methodologies is required.
  • AI tools orientation or a desire to learn AI tools is required.
  • Ability to work collaboratively as a teammate is required.

Responsibilities

  • Perform advanced AI static timing analysis for complex chiplet and full-chip levels.
  • Use AI for timing optimization and data analysis in static timing analysis and place-and-route.
  • Run and build static timing analysis tools for analyzing and debugging timing.
  • Use traditional static timing analysis tools such as PrimeTime to review and debug timing paths, understand constraints, generate SDC, and generate timing ECOs.
  • Identify convergence risks and work closely with physical design, RTL, and DFT teams to ensure convergence throughout project stages.
  • Own full timing closure and quality approval from the pre-layout static timing analysis model through signoff.

Desired Qualifications

  • Experience with agentic frameworks.
  • AI prompting experience.
  • Experience in Linux environments.
  • TCL, Python, and shell scripting abilities.
  • Experience with data collection and analysis.

About the Company

NVIDIA

Designs the chips and software that power AI

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.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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