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NVIDIA

Designs the chips and software that power AI

PCB Design Layout Engineer

Board & Electronics DesignUpdated on Oct 31
Full-timeIn-person

About the Job

Requirements

  • Hold a B.S.E.E. or Computer Sciences degree, or have equivalent experience, with at least 12 years of industry experience.
  • Have knowledge of PCB design and considerations for layout, routing, and timing constraints, design for manufacturing, design for assembly, and design for test in volume manufacturing.
  • Understand High-Density Interconnect PCB layout and PCB Signal Integrity.
  • Work effectively with a team while taking personal responsibility for individual contributions.
  • Adapt focus as the needs of the effort evolve.
  • Have strong leadership, communication, and presentation abilities.

Responsibilities

  • Work closely with product design engineers to perform PCB layout of high-speed, high-density, value-conscious PCBs for NVIDIA business units using Cadence PCB design tools Allegro 23.1 and Capture.
  • Complete PCB layout development, floor planning, detailed component placement, and constraint management, applying knowledge of topology and signal/trace integrity.
  • Ensure designs follow signal-integrity constraints, electromagnetic interference/radio-frequency interference control, FCC, UL and European regulations, IPC specifications, and NRC regulations.

Desired Qualifications

  • Experience in high-speed PCB design.
  • Experience designing PCBs in the 25 Gbps or higher range using back-drilling technology.
  • Experience building complex multilayer HDI PCBs for dense placement and routing.
  • Knowledge of the Cadence Allegro PCB design tool.

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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