Senior Memory System Resiliency Architect

Posted 8 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Memory System Resiliency Architect at NVIDIA, you will work with design, product, and quality teams to enhance memory system resilience against errors. You'll collaborate with DRAM vendors and utilize industry learnings to improve resiliency methodologies for future NVIDIA products and DRAM generations.
Summary Generated by Built In

NVIDIA is seeking hardworking and creative Memory System Resiliency Architect to join our Memory Subsystem team. At Nvidia, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
 

In this position, you will partner with design, product, and quality teams to ensure the memory system is resilient to errors. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI!

What you'll be doing:

  • As a member of the Memory system team, you will collaborate with DRAM vendors, Product engineering, System resiliency, DFT and Quality teams to define methodologies for DRAM test, Screening, Fault modelling, Failure Prediction, and Mitigation techniques.

  • You will also incorporate learnings from Nvidia Manufacturing and Field data to drive resiliency architecture and methodology improvements for future generations of NVIDIA products, and future DRAM generations.
     

What we need to see:

  • BS or equivalent experience in Electrical Engineering, Computer Engineering or related degree required, advanced degrees (MS, PhD) a plus

  • 7+ years of meaningful industry experience and a background in high-speed DRAM resilience, stress testing and screening

  • Knowledge of HBM, GDDR, LPDDR, or DDR or related protocols. Experience of working with memory standards and DRAM vendors is a plus

  • Knowledge of DRAM defects [time0, early-life], failure modes, test and burn-in flows

  • Fault modeling and DPPM estimation for permanent and transient faults in Memory and High speed I/O

  • Programming skills in C/Perl/Python is a plus

  • Data analytics skills are a plus

  • Experienced communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.

Ways to stand out from the crowd:

  • Prior experience in computer system manufacturing and quality.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you.

The base salary range is 180,000 USD - 339,250 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

C
Perl
Python
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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