Hiring.Camp

Hardware Validation Engineer

Nvidia

·

Feb 23, 2026

Location
US, CA, Santa Clara, United States of America
Type
Full-time
Department
Engineering
Source
Workday

Description

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 resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA’s System Co-Design Group (SCG) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will partner with silicon validation teams to capture, interpret, and refine bring‑up platform requirements, then drive alignment and reviews with the platform design team. In this role, you will shape validation platforms that support product lines spanning artificial intelligence, consumer graphics, self‑driving cars, and other cutting‑edge technologies.

What you’ll be doing:

  • Create and own methodology for deriving baseline requirements for validation platforms.

  • Collaborate with cross‑functional silicon validation teams to understand justification, tradeoffs, and design constraints, and reflect them in platform requirements.

  • Ensure the bring‑up platform is fully compatible with required thermal solutions, power‑delivery configurations, and platform peripherals.

  • Maintain the Engineering Requirements Document (ERD) to capture and track validation platform requirements across datacenter, client, automotive, and embedded programs.

  • Primary interface between silicon validation teams and platform design teams, driving alignment on requirements and final implementation.

What we need to see:

  • BS or MS degree in EE/CE or equivalent experience

  • Effective in a collaborative environment.

  • 8+ years working in silicon bringup, platform validation, or platform design.

  • Working experience in a few of the following areas:

    • HSIOs like PCIE or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity on BER.

    • Broad exposure to a few silicon validation and bringup stages - eg: system integration testing, speed char, noise char, feature tuning, electrical validation, thermal / power controller tuning, PVT testing, HTOL, SLT.

    • PCB design and/or layout

    • Experience with large scale Data Center topologies across hosts, switches, retimers and end points.

    • 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 the pay of employees in similar positions. The base salary range is 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 February 27, 2026.

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.

Skills

Deep Learning

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