We are now looking for a Senior Signal & Power Integrity Engineer!
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:
Work on crafting creative Signal Integrity solutions to complex system design problems.
Modeling and Optimization of vias, connectors, sockets, breakouts and various system components in 3D EM tools.
System-level signal integrity simulations of high-speed NVlink 200Gbs+, USB-4, PCIe5, GDDR6, LP5X and other interfaces.
Constant improvements of SI models using data from lab measurements and/or modelling tool/methodology updates.
Substrate and board layout SI guidelines creation, review and post layout SI extractions.
Simulation automation, data gathering, analysis and visualization using JMP, MATLAB or similar tools.
Opportunity to work in a dynamic cross-functional role to optimize package, PCB, ASIC, mixed signal circuit.
What we need to see:
BS/MS-Electrical Engineering or equivalent experience with 6+ years of industry experience.
Strong technical background in applied electromagnatics, transmission line theory and signal processing will be highly valued.
SI work on one or more signaling standards like PCI express, USB, SATA, HDMI, HBM, DDR5, GDDR6, LPDDR5X, etc.
Hands on use of 3-D modeling tools like ANSYS HFSS/Q3D, 2.5-D with ANSYS SIWAVE or similar and 2D such as Ansys2D.
Familiarity with a system level timing or loss budget including silicon, package and board impairments.
Familiarity with use of VNA, TDR, DSO, ParBERT and use of tools/applications like ADS, Ansys Designer, JMP, Matlab, Cadence Allegro will be a plus.
Ways to stand out from the crowd:
Experience in interconnect electromagnetic model design for 200Gbps systems, particularly in backplane and midplane architectures. Hands-on expertise in characterizing and correlating high-speed connectors and cable assemblies in the lab (including using VNA).
Strong understanding of stamping, plating, and molding processes to effectively collaborate with mechanical and industrial engineers on design trade-offs. Knowledge of characterizing new LCP materials to develop accurate electrical component libraries.
Ability to conduct statistical analysis of connectors, cables, and cable assemblies to assess performance at production sites, enhancing data-driven decision-making.
Proficiency in analyzing connector product specifications including mechanical, environmental, electrical and SI testing requirements.
Knowledge of circuit design, board/pkg technology & design, link architecture, timing budget methodologies.
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
- BS/MS in Electrical Engineering or equivalent experience
- 6+ years of industry experience
- Strong technical background in applied electromagnetics, transmission line theory, and signal processing
- Signal integrity work on standards such as PCIe, USB, SATA, HDMI, HBM, DDR5, GDDR6, LPDDR5X
- Hands-on use of 3D modeling tools (ANSYS HFSS/Q3D), 2.5-D tools (ANSYS SIWAVE) and 2D tools (Ansys2D)
- Familiarity with system-level timing or loss budgets including silicon, package and board impairments
- Familiarity with VNA, TDR, DSO, ParBERT and tools/applications like ADS, Ansys Designer, JMP, Matlab, Cadence Allegro
- Experience in interconnect electromagnetic model design for 200Gbps systems and backplane/midplane architectures
- Understanding of stamping, plating, molding processes and LCP material characterization for electrical libraries
- Ability to conduct statistical analysis of connectors, cables, and assemblies for production assessment
- Proficiency analyzing connector product specifications including mechanical, environmental, electrical and SI testing requirements
- Knowledge of circuit design, board/package technology and design, link architecture, and timing budget methodologies
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.”
