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NVIDIA

Designs the chips and software that power AI

Senior Signal & Power Integrity Engineer

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. in Electrical Engineering or equivalent experience.
  • At least 5 years of experience.
  • Expertise with low-speed I/O simulations and design concepts, including clock circuits, DDR/memories, transmitter and receiver design, and equalization schemes.
  • Expert-level proficiency with time-domain analysis and tools.
  • Strong understanding of electromagnetic waves, including transmission-line theory and via properties.
  • High-level proficiency with electromagnetic tools such as Ansys EM and CST.
  • Experience with lab measurements, including VNA and TDR.
  • Ability to work in an intense environment and coordinate multidisciplinary expertise.

Responsibilities

  • Design low-speed I/O channels such as clock circuits, DDR/memories, and other sensitive signals.
  • Design layout guidelines for packages and PCBs for switches, adapters, and electro-optical modules.
  • Perform package, board, and system SI/PI design activities, including PCB stack-up and material selection, design-guide implementation, layout review, and post-layout analysis.
  • Work with Architecture, ASIC, Mixed Signal, Package, and PCB design teams to design systems and ensure SI/PI performance meets expectations.
  • Simulate passive and active elements using 3D and 2D simulation tools.
  • Measure systems in the lab using a network analyzer, TDR, and oscilloscope.

Desired Qualifications

  • An M.Sc. or Ph.D. in Electrical Engineering.
  • Expertise with time-domain co-simulation of I/O circuits and PDN models.
  • Familiarity with NRZ/PAM-4 signaling schemes.
  • Experience with MATLAB, Python, and C.

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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