Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphic company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle complex challenges across diverse industries.
We seek an experienced system design Hardware Engineer to join our Silicon Solutions Group. In this role, you will lead system-design efforts to improve semiconductor quality on data center, notebooks, desktops, professional-visualization products and build advanced safety solutions for Automotive products. Your work will directly shape next-generation silicon quality, performance, and reliability.
What You'll You'll Be Doing:
Creative Problem Solving – Design workarounds and solutions through lab experimentation.
Develop, prototype, and validate system-level features on existing and new silicon, analyzing return on investment and driving feature bring-up plans.
Lead system design partnering with architecture, software, chip/board designers, ASIC, and operations team.
Lead hardware-side debug efforts to root cause feature bugs, silicon defects, and complex HW/SW interactions.
Develop advanced debug tools and infrastructure to meet aggressive schedules.
Production Support – Collaborate with manufacturing and customer teams to resolve feature-related production issues.
What We Need to See:
9+ years in system architecture, design, and semiconductor bringup experience.
BS/MS in Electrical or Computer Engineering (or equivalent experience).
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, binning methodologies, and VF characterization.
Experience in performance and power management (DVFS, power gating, sequencing, throttling)
Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging.
Understanding of fault models, DPPM, quality metrics, RAS is a plus.
Established proficiency in operating within collaborative, multi-functional environments.
Ways to stand out from the crowd:
Deep understanding of DFT architecture.
Direct bring-up experience with GPU/SoC architecture.
Proven success designing quality and power management system features.
Track record of improving validation processes/methodologies.
Strong results in highly matrixed organizations.
Our team is at the forefront of innovation in silicon solutions, contributing to the development of 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 to be one of the technology world’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 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.
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
- 9+ years in system architecture, design, and semiconductor bringup experience
- BS/MS in Electrical or Computer Engineering (or equivalent experience)
- 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, binning methodologies, and VF characterization
- Experience in performance and power management (DVFS, power gating, sequencing, throttling)
- Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging
- Understanding of fault models, DPPM, quality metrics, RAS
- Established proficiency in operating within collaborative, multi-functional environments
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.
NVIDIA Insights
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.”
