Memory System Quality Architect

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Memory System Quality Architect will analyze and improve memory technologies (DDR, LPDDR, HBM) focusing on performance, power, quality, and reliability. Responsibilities include collaborating on system design, architecting quality features, influencing vendor strategies, and utilizing test data for solutions.
Summary Generated by Built In

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence, delivering unparalleled performance, efficiency, and innovation. From our beginnings as a graphics pioneer, we've grown into a global leader in artificial intelligence, continuously pushing the boundaries to take on complex challenges across diverse industries.

We are looking for an engineer with experience driving improvements to advanced DDR and LPDDR technologies and the systems built using them to balance performance, power, quality, and reliability. HBM experience is a plus.

What you will be doing:

  • You will analyze future DDR/LPDDR/HBM technologies to map trends in performance, power, defectivity, and margins relative to Nvidia product segment goals. You will work with memory system architects and external vendors to ensure that the memory technologies and our product designs are on track to deliver high quality and reliability from the ground up.

  • This means architecting quality, reliability, and availability-based features that manage the implications of high power density, increasing temperature requirements, tighter frequency or voltage margining, and new material and manufacturing variations.

  • This also means expertise in influencing vendor quality strategy and supplementing it with in-house test and qualification strategy.

What we are looking for:

  • Bachelor's degree (BS) or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), Systems Engineering, or a related field with 8+ years of demonstrated ability, or a Master's degree (MS) with 6+ years of proven track record in a related hardware engineering role.

  • Deep understanding of memory sub-systems as used in high-performance computing, including DDR/5/6, LPDDR4/5/6, and HBM 3/4.

  • History of architecting system features and architecting test and manufacturing strategies for highest quality memory.

  • Ability to analyze functional or test data to define short-term workarounds and long-term fixes.

  • BS/MS/PhD in Electrical Engineering, Computer Science, Computer Engineering

At NVIDIA, it's not just about technology—it's about people. Our culture, built on innovation, perfection, determination, and teamwork, drives us to be the best. NVIDIA is home to some of the brightest minds in the world, and we strive to further creativity and passion in everything we do. If you're driven and ready to make an impact, we want to hear from you!

#LI-Hybrid

The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Ddr
Hbm
Lpddr
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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