NVIDIA Corporation

Senior Memory Post Silicon Qualification Engineer

NVIDIA Corporation • $168K — $310K *
Santa Clara, CA 95051In-Person
Consumer Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Electrical, Electronics, or Computer Engineering (or equivalent experience)
  • 10+ years in the semiconductor industry with 3+ years on memory interface bring-up and qualification
  • In-depth knowledge of GDDR, LPDDR, and HBM protocols and physical layers
  • Proven success in root-cause analysis of ambiguous memory failures with productized solutions
  • Strong lab skills including use of oscilloscopes, DMM, and protocol analyzers

Responsibilities

  • Bring up high-speed memory interfaces on complex silicon
  • Own functional validation, IO tuning, and timing margin analysis
  • Lead root-cause analysis of multi-team memory failures
  • Design and deploy AI-driven workflows for memory characterization
  • Collaborate with pre-Si teams to create validation plans
  • Work with global teams across hardware and software domains

Benefits

  • Equity opportunities
  • Comprehensive health benefits
  • Flexible work arrangements
  • Professional development resources
  • Collaborative company culture
Full Job Description
We are hiring a Senior Memory Qualification Engineer inside the Silicon Co-Design Group who will own high-speed memory bring-up, characterization, and qualification on our flagship GPU, CPU and SoC programs. This is not a compliance-testing role - it is the seat where memory issues get root-caused before they become customer escapes. The two highest-leverage problems in this seat:
  • Root-cause memory marginality before software hardens. Isolate ambiguous, cross-boundary failures across DRAM, controller, PHY, IO tuning, board, PVT, and workload - and close them with productized fixes and reusable playbooks so the next program starts from a better baseline.
  • Build memory qualification as a repeatable, AI-accelerated capability. Every program generates large datasets of shmoo, margin, and characterization data. Turn that data into decision-ready insight faster than any single engineer can, and shift memory-issue detection left so we catch problems before they hit ramp!
What you will be doing
  • Bring up high-speed memory interfaces (GDDR, LPDDR, HBM) on complex GPU, CPU and SoC silicon - from first power-on through full PVT characterization and productization.
  • Own functional validation, IO tuning, timing margin analysis, and multi-vendor DRAM qualification across the memory controller, PHY, and DRAM device - for the full matrix of capacities, speeds, and configurations we ship.
  • Lead root-cause closure on the hardest multi-team memory failures - spanning silicon, controller, PHY, package, board SI/PI, firmware, and workload - with reusable workarounds and productized fixes.
  • Design and deploy AI-enabled workflows for margin data analysis, shmoo bucketing, failure signature detection, and workload-vs-margin correlation - with the guardrails to make the outputs trustworthy enough to gate qualification decisions.
  • Partner with pre-Si architecture, design, and DV teams to translate new memory features into targeted post-Si validation plans, and feed post-Si learnings back into pre-Si methodology.
  • Work across globally distributed teams - silicon design, PHY, PCB, firmware, software, DRAM vendors, and manufacturing partners - including counterpart engineers in Taiwan and other major hubs.
What we need to see:
  • B.Tech or M.Tech in Electrical, Electronics, or Computer Engineering (or equivalent experience), plus 10+ years in the semiconductor industry with at least 3 years directly on memory interface bring-up, characterization, and qualification on shipped silicon.
  • Deep protocol and physical-layer understanding of GDDR, LPDDR, or HBM - training, calibration, IO tuning, timing margin, and vendor-to-vendor behavior differences - with at least one specific example of taking an ambiguous memory failure to root-cause closure with a productized fix.
  • Strong hands-on lab fundamentals - oscilloscope, DMM, thermal chambers, protocol analyzers - combined with working knowledge of PCB stack-up, board layout, power planes, and SI/PI guidelines that show up as real memory issues.
  • Demonstrated AI-driven workflow you built or scaled for memory characterization, margin analysis, or failure triage - with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate.
Ways to stand out from the crowd:
  • Experience resolving ambiguous memory failure from symptom to root cause without being handed the answer; codified the fix as methodology adopted beyond their immediate program.
  • A history of building reusable qualification methodology, debug playbooks, or margin-analysis frameworks that were adopted by other programs or teams .
  • AI work that goes beyond personal-copilot use - agentic workflows, RAG-grounded debug assistants, automated shmoo analysis, ML-driven margin prediction - deployed at team scope with adoption metrics.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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