Senior Resiliency Architect, Hardware Diagnostics and Resiliency Modeling
Core
Develop hardware diagnostics software and resiliency models for NVIDIA GPUs and SoCs to identify defects, analyze field data, and ensure reliability for AI workloads in datacenters and edge computing.
Role type
Senior IC hardware resiliency architect
Builds
Diagnostics software suite, RAS models, automation tooling, and analytics dashboards
Domain
Semiconductor hardware reliability and AI infrastructure
Deliverable
production ML models
Required skills
GPU architecture knowledge, RAS modeling (FIT, AVF), Python scripting, C/C++, CUDA programming, data mining, hardware diagnostics, container-based job execution
Preferred skills
Statistical judgment, embedded software development, visualization tools, resiliency trade-off analysis
Technologies
Python, SQL, C/C++, CUDA, container orchestration
Responsibilities
Develop diagnostics software to stress test GPUs/SOCs; Analyze coverage gaps in diagnostic suites; Model and analyze RAS metrics (FIT, Availability); Design automation scripts for diagnostic job management; Develop dashboards for data integration and visualization; Collaborate on telemetry categorization for fault attribution.
Seniority
Senior, hands-on IC
