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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-timeWestford, MA, USAIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Electrical Engineering, or equivalent experience.
  • Five years of experience in VLSI physical design implementation on 5nm, 4nm, and 3nm technology.
  • A successful track record of delivering designs to production.
  • Ability to assist in design flow development and debugging, including applying machine learning and artificial intelligence solutions.
  • Validated power-user experience with place-and-route, timing analysis, physical verification, IR drop analysis, and computer-aided design tools from Synopsys (ICC2, DC, PT, STAR, ICV), Cadence (Genus, Innovus, Tempus), and other major electronic design automation companies.
  • 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.

Responsibilities

  • Lead all aspects of physical design and implementation of system-on-chip devices targeted at networking markets.
  • Work at the partition and chiplet level.
  • Participate in establishing physical-design methodologies, flow automation, chip floorplanning, power and clock distribution, chip assembly and place-and-route, and timing closure.
  • Perform physical chip development from RTL to GDS, including trial synthesis, power and clock distribution, place-and-route, timing closure, power and noise analysis, and physical verification.

Desired Qualifications

  • Proficiency using Python, Perl, Tcl, and Make scripting.

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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