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 and Power Integrity solutions to complex system design problems.
System-level power integrity simulations of high-performance AI systems, graphic cards, and Tegra systems.
Work closely with VLSI power teams and package/board design teams to design, optimize, and model power delivery networks (PDN) including dies, packages, boards, and voltage regulators.
Package and board PDN guidelines creation, review, and post layout PI extractions.
Opportunity to work in a dynamic cross-functional role to optimize package, PCB, ASIC, mixed signal circuit.
What we need to see:
MS/PhD in Electrical Engineering or equivalent experience.
4+ years of industry experience.
Strong technical background in applied electromagnetics, transmission line theory, and signal processing is highly valued.
Experience in power integrity for core power or I/O power.
Strong understanding of how die/package/board decoupling impacts power supply noise across different frequency ranges.
Knowledge of on-die current di/dt control techniques such as dynamic clocking and throttling.
Familiarity with the SIMPLIS tool for regulator modeling; experience in modeling the behavior of on-die di/dt control techniques is highly preferred.
Hands-on experience with PowerSI, 3D modeling tools such as ANSYS HFSS/Q3D, 2.5D tools such as ANSYS SIwave (or similar), and 2D tools such as Ansys 2D
Ways to stand out from the crowd:
Good understanding of how regulators work and expertise in regulator modeling.
Knowledge of package/board/decoupling capacitor technology & design.
Scripting for analysis automation
#LI-Hybrid
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 a diverse 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.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.
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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.”
