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What you’ll be doing:
The focal point SME for manufacturing test requirements, test methodology, test plan and test flow for AI system RAS/Resilience features to ensure good test coverage and successful production ramp-ups.
Own the AI system RAS/Resilience models, Benchmarking and Risk assessment.
Own the troubleshooting and root-causing of AI system RAS/Resilience related failures at factory and in the field.
Drive the end-to-end RAS efforts of chip-board-system to reduce FIT rates.
Lead the data analysis of RAS/Resilience logs to refine, revise and overhaul test methodology and manufacturing flows; influence and drive software tools/infrastructure required for new product development, validation, and productization.
Opportunity to work closely and partner with architecture, hardware, software, and product engineering teams through the product development lifecycle.
Be ready to be challenged to assess new hardware features and architect manufacturing RAS tests, flows, methodologies.
You'll nurture a deep understanding of NVIDIA's AI hardware and software architecture.
What we need to see:
BS or higher in EE, CE, CS, Mathematics, or equivalent experience.
12+ years proven hands-on experiences in design, testing, benchmarking, and risk assessment of system RAS / Resiliency features of large Compute or AI or HPC systems.
Proficient in Compute System RAS/Resilience model theory and methodology.
Proficient in HPC or AI system architecture and Cluster Interconnect technologies.
Proficient in using test equipment, Linux commands and benchmark utilities to test and trouble-shoot compute system RAS & Resiliency features.
Strong problem-solving and trouble-shooting expertise; and institutionalizing root-cause analysis.
Self-initiative, strong interpersonal skills, and flexibility to adapt to new technologies.
Solid Knowledge and/or Experience in HPC or MLPerf benchmarking is a plus.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך