N

NVIDIA

Designs the chips and software that power AI

Senior Signal Integrity Engineer - Cryogenic Interconnects

Electrical EngineeringUpdated on Oct 31
Full-timeIn-person

About the Job

Requirements

  • A master's or doctoral degree in Electrical Engineering, or equivalent experience.
  • At least 5 years of experience.
  • Strong experience in signal integrity modeling and simulation using HFSS or similar electromagnetic tools.
  • Deep understanding of high-frequency and broadband design.
  • Solid understanding of multi-layer printed circuit board design and signal behavior.
  • Knowledge of printed circuit board materials and their electrical and physical properties.
  • Experience with laboratory measurements, including vector network analyzer and high-speed characterization.
  • Background in cryogenic technologies or strong interest in developing expertise in this area.

Responsibilities

  • Develop accurate 3D electromagnetic models for printed circuit board and interconnect structures using tools such as HFSS.
  • Simulate multi-layer printed circuit board designs under cryogenic conditions.
  • Define high-speed constraints, signal integrity specifications, and design guidelines across radio frequency, materials, and thermal domains.
  • Work on next-generation cryogenic interconnect solutions for ultra-high-speed communication.
  • Collaborate with signal integrity, materials, mixed-signal, and system teams to drive end-to-end interconnect performance.
  • Perform laboratory characterization and validation using network analyzers and other measurement tools.
  • Correlate simulation results with hardware measurements to improve modeling accuracy.
  • Contribute to system-level understanding of interconnect behavior across printed circuit board, package, and system domains.

Desired Qualifications

  • Experience working on low-loss or ultra-high-speed interconnects.
  • Background in materials modeling or signal integrity-material correlation.
  • Experience in extreme environments, including cryogenic, thermal, or reliability-driven design.
  • Track record of correlating simulation to hardware measurements.
  • Strong cross-functional experience with printed circuit board, package, and system teams.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs