Role at a glance
- Salary
- Not Disclosed
- 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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We’ll check it against the original posting.
Qualifications
MS/PhD in Electrical Engineering or equivalent experience and 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; understanding of multilayer PCB design, signal behavior, and PCB materials; experience with VNA or high-speed lab characterization; background in cryogenic technologies or strong interest in developing expertise in this area.
Required
- Experience working on low-loss or ultra-high-speed interconnects
- Background in materials modeling or SI-material correlation
- Experience in cryogenic, thermal, or reliability-driven design
- Track record of correlating simulation to hardware measurements
- Cross-functional experience with PCB, package, and system teams
Preferred
- Experience working on low-loss or ultra-high-speed interconnects
- Background in materials modeling or SI-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 PCB, package, and system teams
About the role
Original posting provided by NVIDIA
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
You will also be eligible for equity and benefits.
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.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.