Full-Time

Senior Memory System Resiliency Architect

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$180k - $339.3kAnnually

+ Equity

Senior, Expert

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Category
Embedded Systems Engineering
Electrical Engineering
Required Skills
Python
Perl
C/C++
Data Analysis
Requirements
  • 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 in Vendor manufacturing and system level testing
  • 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.
Responsibilities
  • 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.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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