GPU/SOC Low-Power Feature Architect

Reposted 3 Days Ago
Be an Early Applicant
6 Locations
Remote or Hybrid
168K-311K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead design and optimization of next-generation high-speed IOs (NVLink, NVLink-C2C), focusing on IO power management, power/performance modeling, interoperability, and deep debug across cross-functional teams to enable product bringup and release.
Summary Generated by Built In

NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition, through bringup, to product release.


Our ArchDev arm is a hub for all silicon and system-level feature development, cost-benefit analysis, system integration solutions, and system POR alignment.  As a member of this team, you will dive into next-gen high-speed interconnects like NVLink and NVLink-C2C to make advancements in efficiency and stability. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting product lines ranging from artificial intelligence to consumer graphics to self-driving cars and more.


What you’ll be doing:

  • Contribute to the design of the next generation of high-speed IOs, including NVLink and NVLink-C2C.
  • Responsible for IO power optimizations and continuing to push energy efficiency.
  • Ensure interoperability with connected devices and system components in complex interconnect topologies
  • Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams
  • Work closely and proactively with other engineering teams such as system architects, mixed signal and design, DGX, software/firmware, HW/SW QA, operations, and AE teams to drive design, development, debug, and release of next-generation products.

What we need to see:

  • BS or MS degree in EE/CE or equivalent experience
  • Minimum 10 years working on capacity - power management, use case analysis, perf/power modeling, bringup, and/or debug.
  • Ownership and working experience in some of the following areas:
    • Experience with system-level and interconnect power management optimizations
    • Silicon and platform-level power modeling for active/idle use cases
    • Understanding of firmware/driver structures and their interaction with HW.
    • Track record of influence, leadership, and collaboration across multiple teams towards a unified goal.
    • Strong EE fundamentals, knowledgeable in computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, and power analysis.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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 or MS degree in Electrical Engineering, Computer Engineering, or equivalent experience
  • Minimum 10 years working on HSIO involving power management, use-case analysis, perf/power modeling, bringup, or debug
  • Experience with system-level and interconnect power management optimizations
  • Silicon and platform-level power modeling for active and idle use cases
  • Understanding of firmware and driver structures and their interaction with hardware
  • Proven track record of influence, leadership, and cross-team collaboration
  • Strong EE fundamentals: computer architecture, high-speed interfaces, timing analysis, process variation, statistical error rates, and power analysis

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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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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