Senior Memory System Engineer

Nvidia

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $236k
$136k most similar roles pay here $304k

This role pays more than 88% of similar roles. Most pay $166,613–$222,000 — the shaded band above. At the midpoint, this role pays about $236k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 893 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 871 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Memory System Engineer

The Senior Memory System Engineer joins the ASIC Memory Subsystem team to develop and architect innovative memory solutions for Tegra SoCs. In this role, you will analyze future DDR, LPDDR, and HBM technologies to determine optimal performance, power, function, and RAS for next-generation systems. You will collaborate with architects, firmware teams, and suppliers to design high-speed, low-power memory technology while defining module, package, and PCB layouts tailored to specific system workloads. Responsibilities include debugging, bringing up memory evaluation, and performing failure analysis. The role requires expertise in memory design, ECC algorithms, SI/PI training, and interactions between cache, controllers, and PHYs. Candidates should possess a strong background in DRAM and module design, along with proficiency in Python and C/C++ for development and workload analysis to solve complex memory subsystem challenges.

What you'll do

  • Analyze future DDR, LPDDR, and HBM technologies to determine optimal performance, power, and reliability for next-generation SoCs.
  • Define memory module, package, and PCB layouts tailored to specific system workloads.
  • Drive memory technology requirements and specifications in coordination with ASIC architects and firmware teams.
  • Debug and resolve issues during the bring-up and validation of memory technologies.
  • Partner with DRAM suppliers and industry partners to develop advanced memory component technologies.
  • Perform memory workload analysis using Python, C, or C++.

What we're looking for

  • Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering, 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 of memory design, features, ECC algorithms, and SI/PI training algorithms for DDR, LPDDR, and HBM.
  • Strong understanding of memory subsystem interaction with Cache, Memory controller, and PHY.
  • Experience in the design, bring-up, and validation for memory failure analysis.
  • Proficiency in Python and C/C++ for development and memory workload analysis.
  • Strong user documentation and interpersonal skills.

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