System Memory Validation Software Engineer

3 Months ago • 3 Years + • Research & Development

Job Summary

Job Description

NVIDIA's Memory Solutions (MS) team seeks a motivated Embedded Memory Qualification Engineer. This role involves qualifying alternative memory for embedded projects (Tegra, Auto, Shield, etc.), collaborating with various engineering teams (Board Design, Signal Integrity, Design Validation, etc.), and developing comprehensive project schedules aligned with product launch timelines. Responsibilities include deploying memory AC timing in VBIOS, fine-tuning memory interfaces, validating memory subsystem solutions, and creating software tools for log processing and database setup. Strong programming skills (C/C++, Python) and experience with high-speed subsystem design are crucial.
Must have:
  • MS in EE/CE/CS
  • 3+ years embedded experience
  • PCB layout & high-speed design knowledge
  • Memory signal integrity knowledge
  • Proficiency in Python, C/C++
  • Excellent problem-solving skills
Good to have:
  • LPDDRX/GDDRX understanding
  • Perl/Python programming skills
  • Experience with lab tools (oscilloscopes, etc.)
  • BIOS/driver experience
  • Power/thermal knowledge

Job Details

NVIDIA is looking for a motivated Embedded memory qualification engineer for Memory Solution(MS) Team! MS works with various teams within NVIDIA Engineering includes Board Design, Signal Integrity, Design Validation, Video Bios software, ASIC, and Memory Vendors.

In this role, you will be faced with the challenge of qualify multiple alt memory for embedded projects, like Tegra, Auto, shield...etc. Weekly communications, and coordinate peers and operations with specified objectives; conducting project review and creating detail reports for execution teams, and call out to management as needed. Initial and develop a comprehensive project schedule, ensure key deliverables align to BU key achievements for TTM launch. Work with design/validation and cross-function teams to ensure quality assurance activities.

 

What you'll be doing:

  • Deploy memory AC timing in Vbios

  • Fine tune memory interface for different type of Graphic memories and vendors

  • Validate the solution of memory sub-system is good with margin and no concern on stability.

  • P-rel with qualified alt memory and roll in for production.

  • Create software tools to process log files or setup database.

  • Extraordinary programming skills, especially on C/C++, python, Linux shell or Perl is a huge plus

  • Familiarity with Graphic card or GDDR/HBM memory technology

  • Prior hardware design experience (or internships) related to high speed subsystem design, memory controller design, High-speed IO protocols, on-chip interconnect would be much appreciated

  • Power or thermal knowledge

 

What we need to see:

  • MS in EE, CE, CS, Systems Engineering (or equivalent experience)

  • Familiar with PCB layout and high-speed board design issues

  • Good knowledge of memory signal integrity and analog interface characterization

  • Detail oriented, reliable, Self-motivated and able to work under pressure

  • Experienced with Python, JavaScript, C/C++, Windows, and Linux

  • Excellent problem-solving abilities

  • 3 + years work experience in embedded

 

Ways to stand out from crowd:

  • Good understanding on memory signaling/protocol (LPDDRX/GDDRX) is a plus

  • Strong programming skills (Perl/Python)

  • Experienced with lab tools (oscilloscopes, multimeters, logic analyzers). Exposure to BIOS, drivers, and other software applications

  • Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment

  • Knowledgeable in memory signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, filters

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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