NVIDIA

NVIDIA

Posted via Workday

Senior Signal Integrity Engineer – Cryogenic Interconnects

Posted Aug 5, 2026

Role at a glance

Salary
$168K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience
Education
MS/PhD in Electrical Engineering or equivalent experience

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Role Summary

AI-generated

The Senior Signal Integrity Engineer will develop and validate cryogenic interconnect solutions for ultra-high-speed communication. The role works across PCB, package, and system domains with SI, materials, mixed-signal, and system teams to improve end-to-end interconnect performance.

What You'll Do

  • Develop 3D EM models for PCB and interconnect structures using tools such as HFSS.
  • Simulate multi-layer PCB designs under cryogenic conditions.
  • Define high-speed constraints, SI specifications, and design guidelines across RF, materials, and thermal domains.
  • Perform lab 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 PCB, package, and system domains.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

MS/PhD in Electrical Engineering or equivalent experience; 5+ years of experience; strong experience in signal integrity modeling and simulation using HFSS or similar EM tools; deep understanding of high-frequency/broadband design; solid understanding of multi-layer PCB design and signal behavior; knowledge of PCB materials and their electrical and physical properties; experience with lab measurements including VNA and high-speed characterization; background in cryogenic technologies or strong interest in developing expertise in this area.

Required

  • Signal integrity modeling and simulation
  • HFSS or similar EM tools
  • High-frequency/broadband design
  • Multi-layer PCB design and signal behavior
  • PCB materials and their electrical and physical properties
  • Lab measurements, including VNA and high-speed characterization
  • Cryogenic technologies

Preferred

  • Low-loss/ultra-high-speed interconnects
  • Materials modeling or SI-material correlation
  • Extreme environments, including cryogenic, thermal, or reliability-driven design
  • Correlating simulation to hardware measurements
  • Cross-functional experience with PCB, package, and system teams

Original job description

Content provided by the employer

We are now looking for a Senior Signal Integrity Engineer – Cryogenic Interconnects! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence.

This is a dynamic team working with state-of-the-art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle.

What you'll be doing:

  • Develop accurate 3D EM models for PCB and interconnect structures using tools such as HFSS

  • Simulate multi-layer PCB designs under cryogenic conditions

  • Define high-speed constraints, SI specifications, and design guidelines across RF, materials, and thermal domains

  • Work on next-generation cryogenic interconnect solutions for ultra-high-speed communication

  • Collaborate closely with SI, materials, mixed-signal, and system teams to drive end-to-end interconnect performance

  • Perform lab 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 PCB, package, and system domains

What we need to see:

  • MS/PhD in Electrical Engineering or equivalent experience

  • 5+ years of experience

  • Strong experience in signal integrity modeling and simulation (HFSS or similar EM tools)

  • Deep understanding of high-frequency / broadband design

  • Solid understanding of multi-layer PCB design and signal behavior

  • Knowledge of PCB materials and their electrical and physical properties

  • Experience with lab measurements (VNA, high-speed characterization)

  • Background in cryogenic technologies or strong interest in developing expertise in this area

Ways to stand out from the crowd:

  • Experience working on low-loss / ultra-high-speed interconnects

  • Background in materials modeling or SI-material correlation

  • Experience in extreme environments (cryogenic, thermal, or reliability-driven design)

  • Track record of correlating simulation to hardware measurements

  • Strong cross-functional experience with PCB, package, and system teams

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.