Post-Silicon Hardware Engineer

Reposted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
168K-311K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Validate and optimize system-level features, lead hardware debug efforts, and collaborate with cross-functional teams to improve silicon quality and performance.
Summary Generated by Built In

For more than two decades, NVIDIA has redefined what's possible, from inventing the GPU in 1999 to fueling breakthroughs in AI and accelerated computing today. We are a learning machine that thrives on tackling challenges that matter to the world. Join us and help define the future of computing.

We seek an experienced Post-Silicon Hardware Engineer to join our Silicon Solutions Group. In this role, you will validate and optimize system-level features that power notebooks, desktops, embedded platforms, automotive solutions, and professional products. Your work will directly shape next-generation silicon quality, performance, and reliability.

What You'll You'll Be Doing

  • Develop and validate features – Prototype and validate system-level features on existing and new silicon, analyzing return on investment and driving feature bring-up plans.

  • Debug Leadership – Lead hardware-side debug efforts to root cause feature bugs, silicon defects, and complex HW/SW interactions.

  • Creative Problem Solving – Design workarounds and solutions through lab experimentation, applying advanced debug tools to meet aggressive schedules.

  • Cross-Functional Impact – Partner with architects, chip/board designers, firmware/software engineers, and QA to drive design, debug, and release of next-gen products.

  • Production Support – Collaborate with manufacturing and customer teams to resolve feature-related production issues.

What We Need To See

  • BS/MS in Electrical or Computer Engineering (or equivalent experience).

  • 6+ years in system-level post-silicon bring-up and debug.

  • Strong EE fundamentals: digital design, computer architecture, power/timing/fault analysis, statistics, and scripting.

  • Deep understanding of firmware/driver interaction with hardware.

  • Knowledge of PVT dependencies and binning methodologies.

  • Experience in performance and power management (DVFS, gating, sequencing, throttling).

  • Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging.

  • Established proficiency in operating within collaborative, multi-functional environments.

Ways to stand out from the crowd:

  • Direct bring-up experience with GPU/SoC architecture.

  • Proven success as a Silicon Bring-Up Lead.

  • Track record of improving validation processes/methodologies.

  • Strong results in highly matrixed organizations.

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the world's most desirable technology employers. We welcome you to join our team, which consists of some of the hardest-working people in the world, working together to promote rapid growth. Are you passionate about joining 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 September 26, 2025.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.

Top Skills

Computer Architecture
Digital Design
Driver
Electrical Engineering
Firmware
Gpu
Scripting
Silicon
Soc
Statistics
Timing Analysis
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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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