Senior Power Integrity Co-Design Engineer

Posted 23 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Architect and deliver voltage-noise mitigation across silicon, package, board, and platform. Define product noise targets, build Sim-to-Si correlation, model and prototype transient/noise features, lead bringup bug resolution, and drive cross-functional co-design tradeoffs to ship robust PDN solutions.
Summary Generated by Built In

The SCG Architecture team is hiring a Senior Power Integrity Co-Design Engineer to architect and deliver di/dt mitigation across silicon, package, board, and platform. This role bridges architecture, silicon, and platform — translating product noise targets into shipped specifications, and feeding silicon findings back into the next generation's build. Success in this role requires strong systems thinking and a willingness to accept ambiguity. It also requires the ability to apply AI as a force multiplier while maintaining rigorous engineering judgment.

What you'll be doing:

  • Architect voltage-noise mitigation across the full stack — silicon, package, board, platform — and own the codesign trade-offs between them.

  • Co-design noise features with Speed, Power, Reliability, Circuit Design , Power-Arch, ASIC, and platform teams. You're the connective tissue across the codesign web.

  • Work with other team members to define product-level voltage noise targets, drive them to closure, and sign them off at shipment.

  • Build and take ownership of the Sim-to-Si correlation methodology for noise. You know when a model is lying and when silicon is.

  • Model and prototype next-gen noise features — transient sense, droop response, mitigation IP, and codify them so every future program inherits them.

  • Lead show-stopper noise bugs during bringup. The critical issues stop with you.

  • Drive architecture-level codesign tradeoffs across V/F <-> Power <-> Noise <-> Reliability <-> Thermal (Noise-Variation) and (Noise-to-Closure) boundary work, where the highest-leverage innovation lives.

What we need to see:

  • BS / MS / PhD in EE, CE, or related (or equivalent experience).

  • 5+ years in silicon power integrity, voltage noise, or PDN.

  • Deep expertise in at least one of: di/dt analysis and mitigation, voltage droop, PDN design (die + package + board), transient noise, decap budgeting, voltage regulator response.

  • Hands-on silicon experience: bringup, characterization, correlation. You're comfortable on a bench with scopes, probes, DAQ — and in front of a simulator.

  • Strong Sim-to-Si correlation instincts — the field of figuring out which side of the equals sign is wrong.

  • System-level objectivity. You're willing to make the call that's right for the product even when no single component team agrees with you.

  • Multi-functional collaboration in a matrixed environment. You can drive a decision through five collaborators without burning bridges, and you write it down when you're done.

  • Spec rigor. We live in spec lock, sign-off, and OPP closure — the work isn't done until it's documented and shipped.

Ways to stand out from the crowd:

  • Patents or publications in power integrity, voltage noise, PDN, or di/dt mitigation.

  • Hands-on with groundbreaking GPU, CPU, or AI accelerator silicon — Hopper / Blackwell / Rubin-class or hyperscaler equivalents.

  • ML/AI applied to noise modeling, transient prediction, droop response, or feature optimization. We're rebuilding our toolchain around AI, and noise is squarely in scope.

  • Multi-rail, multi-domain PDN ownership at SoC level — die + package + board co-optimization in production.

  • Track record of codifying methodology into reusable workflows or tooling.

Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 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.

Skills Required

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, or related (or equivalent experience)
  • 5+ years in silicon power integrity, voltage noise, or PDN
  • Deep expertise in at least one: di/dt analysis and mitigation, voltage droop, PDN design (die+package+board), transient noise, decap budgeting, or voltage regulator response
  • Hands-on silicon experience: bringup, characterization, correlation; comfortable using scopes, probes, DAQ and simulators
  • Strong Sim-to-Si correlation instincts and modeling validation experience
  • System-level objectivity and ability to make product tradeoff decisions across teams
  • Proven ability to drive multi-functional collaboration in a matrixed environment
  • Spec rigor: experience in spec lock, sign-off, and OPP closure with documented deliverables
  • Patents or publications in power integrity, voltage noise, PDN, or di/dt mitigation
  • Hands-on experience with GPU, CPU, or AI accelerator silicon (Hopper/Blackwell/Rubin-class or equivalent)
  • ML/AI applied to noise modeling, transient prediction, droop response, or feature optimization
  • Multi-rail, multi-domain PDN ownership at SoC level (die+package+board co-optimization in production)
  • Track record of codifying methodology into reusable workflows or tooling

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.

  • 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.
  • 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.
  • 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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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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