Memory Silicon Validation Engineer
NVIDIA· Engineer, ASIC
Taipei, TaiwanFull-timePosted 4w ago
About the role
Senior Memory Qualification Engineer responsible for high-speed memory bring-up, characterization, and qualification on NVIDIA’s GPU, CPU, and SoC programs. Focus on root-cause analysis of memory marginality, development of AI-enabled qualification workflows, and cross-functional coordination with pre- and post-Si teams and external vendors.
Responsibilities
- 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 guardrails for trustworthy qualification decisions.
- Partner with pre-Si architecture, design, and DV teams to translate memory features into 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 Taiwan and other hubs.
Qualifications
- B.Tech or M.Tech in Electrical, Electronics, or Computer Engineering (or equivalent), plus 4+ 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, including training, calibration, IO tuning, timing margin, and vendor-to-vendor behavior differences, with at least one concrete memory root-cause-to-fix example.
- Strong hands-on lab fundamentals (oscilloscope, DMM, thermal chambers, protocol analyzers) and working knowledge of PCB stack-up, board layout, power planes, and SI/PI guidelines.
- Demonstrated AI-driven workflow for memory characterization, margin analysis, or failure triage with measurable impact and adoption beyond the individual.
Skills
Required:Memory interface bring-up
Benefits
- Competitive benefits
- Flexible time off
- Continuous learning
Last updated Sep 25, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
More open roles at NVIDIA
- Senior Physical Verification Engineer3d agoEngineer, ASIC
- Senior System Software Engineer, Display Security3d agoEngineer, Sys SW
- Senior FPGA Prototyping Engineer - Hardware3d agoSanta Clara, CA · Engineer, ASIC
- Senior Product Engineer3d agoHybrid (Thailand) · Engineer, Product Development
- Senior Architect - Data Processing Systems, Analytics and Data Intelligence3d agoHybrid (Remote / Local) · Architect