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.Skills Required
- MS or PhD in Electrical Engineering or equivalent experience
- 5+ years of relevant signal integrity or interconnect engineering 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 and high-speed characterization (VNA, network analyzers)
- Background in cryogenic technologies or strong interest in developing cryogenic expertise
- Experience working on low-loss / ultra-high-speed interconnects
- Track record of correlating simulation results to hardware measurements
- Experience in materials modeling or SI-materials correlation
- Experience in extreme environments (cryogenic, thermal, or reliability-driven design)
- Strong cross-functional collaboration with PCB, package, and system teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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