Senior Memory System Engineer

Reposted Yesterday
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Memory System Engineer, you'll analyze memory technologies, collaborate with various engineering teams, and design memory architectures for NVIDIA SOCs.
Summary Generated by Built In

NVIDIA is now looking for a Senior Memory System Engineer to join our ASIC Memory Subsystem team! As a Senior Systems Engineer at NVIDIA, you'll join a group of hardworking engineers to develop and architect innovative Memory Solution for Tegra SoCs. In this position, you'll make a real impact in a multifaceted, technology-focused company. You will work with memory controller/PHY and Platform / System architect, Firmware, SI/PI, Memory suppliers to design and architect cutting edge, high speed and lower power memory technology for NVIDIA CPUs and SOCs.

What You Will Be Doing:

  • Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems.

  • Collaborate with ASIC Architects, Designers, Software and Firmware SW/FW teams to drive memory technology and associated requirements for memory controllers.

  • Define Memory module, Package, and PCB layouts appropriate to the system workloads

  • Debug and bring up memory evaluation / validation and failure issues on memory technology.

  • Collaborate with DRAM suppliers and industry partners on to develop memory and memory related component technology.
     

What We need to see:

  • Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering (CE), or a related field (or equivalent experience)

  • 10 years of proven track record in DRAM design, module design, or memory sub system design.

  • Deep understanding and strong fundamental of memory design, features, ECC algorithm, SI and PI (Training algorithm) in DDR, LPDDR, and HBM.

  • Strong understanding of memory sub system level interaction with Cache, Memory controller and PHY.

  • Experience in the design, bring-up and validation for memory failure analysis

  • Experience with Python, C/C++ for development and memory workload analysis.

  • Strong user documentation and interpersonal skills

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 best-in-class engineering teams are rapidly growing. If you're creative and autonomous, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

Top Skills

C/C++
Ddr
Hbm
Lpddr
Python
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

NVIDIA Logo NVIDIA

Senior Power and Performance Engineer - System Memory

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
168K-311K Annually

Anduril Logo Anduril

Telecommunications Infrastructure Analyst

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
146K-194K Annually

Anduril Logo Anduril

Security Engineer

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
191K-253K Annually

System1 Logo System1

Senior Social Growth Strategist, Startpage

AdTech • Big Data • Digital Media • Marketing Tech
Easy Apply
Hybrid
Los Angeles, CA, USA
300 Employees
133K-183K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account