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NVIDIA

Designs the chips and software that power AI

Senior Physical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering (BSEE) or equivalent experience is required; a Master of Science in Electrical Engineering (MSEE) is preferred.
  • At least 8 years of experience in large VLSI physical design implementation on 5nm, 4nm, and 3nm technology is required.
  • A successful track record of delivering designs to production is required.
  • Experience in power, performance, and area improvement initiatives is a plus.
  • Strong power-user proficiency with Synopsys P&R, timing analysis, physical verification, and IR drop analysis CAD tools, including ICC2, DC, PT, STAR-RC, and ICV; Cadence tools, including Innovus, Tempus, and SeaHawk; and Mentor Graphics tools.
  • Deep understanding of custom macro blocks such as RAMs, CAMs, high-speed IO drivers, and PLLs.
  • Prior experience in timing closure, clock and power distribution and analysis, RC extraction and correlation, place and route, and tapeout solutions.
  • Strong analytical and debugging skills are required.
  • Proficiency using Python, Perl, Tcl, and Make scripting is helpful.

Responsibilities

  • Take responsibility for all aspects of physical design and implementation of GPU and other ASICs targeted at desktop, laptop, workstation, and mobile markets.
  • Participate as a team in establishing physical design methodologies, flow automation, chip floorplan, power and clock distribution, chip assembly and place and route, and timing closure.
  • Craft designs for static timing analysis, power and noise analysis, and back-end verification.

Desired Qualifications

  • A Master of Science in Electrical Engineering (MSEE) is preferred.
  • Experience in power, performance, and area improvement initiatives is a plus.
  • Proficiency using Python, Perl, Tcl, and Make scripting is helpful.

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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