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高级信号完整性工程师 – 低温互连

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月10日

福利
Equity,Benefits

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岗位摘要

Seeking a Senior Signal Integrity Engineer to develop 3D EM models, simulate cryogenic PCB designs,

岗位职责

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 September 8, 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.

申请条件

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.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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