Senior Signal Integrity Engineer – Cryogenic Interconnects

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

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.