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NVIDIA

Designs the chips and software that power AI

Physical Design STA CAD Engineer

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

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Electrical Engineering or Computer Engineering, or equivalent experience.
  • At least 2 years of full-time relevant experience in the listed technical areas.
  • Proven experience and strong knowledge in Physical Design, Backend Computer-Aided Design, Static Timing Analysis, and timing-closure methodologies.
  • Familiarity with industry-standard tools such as PrimeTime for Static Timing Analysis and PrimePower for power estimation.
  • Self-motivation, attention to detail, and strong written, verbal, and presentation skills.
  • A strong sense of ownership, self-learning skills, and the ability to work independently and collaboratively with internal and global teams.

Responsibilities

  • Develop physical design, Static Timing Analysis, logic equivalence, and power-integrity flows and methodologies for implementation of networking chips and systems-on-chip.
  • Work closely with block owners and full-chip Static Timing Analysis engineers to ensure high-quality and timely convergence.
  • Develop solutions to advanced physical design problems for the company's chips.
  • Participate in and develop flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, electromigration, and back-end verification across multiple projects.

Desired Qualifications

  • Experience in signoff domains: Static Timing Analysis using PrimeTime, power estimation using PrimePower, power integrity using RedHawk, and formal equivalence using Formality.
  • Knowledge of Tcl, Perl, or Python.

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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