Distinguished Resiliency and Safety Architect, GPU Diagnostics

Design, develop, and maintain diagnostics software suite to efficiently stress test NVIDIA GPUs and SOCs to identify hardware defects, including defects that cause silent data corruption. These tests will run in large-scale deployments of Datacenter GPUs and Safety SOCs in package/board/rack configurations spanning GPUs, CPUs, and Networking SOCs. Address coverage gaps in NVIDIA diagnostic suite flagged by silicon failures on customer workloads or test suites. Enhance diagnostics to improve repeatability of failures detected and optimize test time. Tests for GPUs in automotive functional safety contexts should include low-level routines to exercise instruction sets, memory subsystems and interrupt mechanisms, in compliance with ISO 26262 and related safety standards. Collaborate with architecture, RTL, and verification teams to ensure safety coverage, correctness, and robustness across GPU generations. Study silent data corruption, intermittent faults, and hard-to-reproduce failures in the field, including customer returns (RMAs), to establish root causes, and improve detection by diagnostics Support deployment of diagnostics in pre-production qualification environments as well as large-scale production usages. Ability to reason across hardware/software boundaries to debug complex system-level issues Ability to use high performance libraries and write hand-crafted kernels where necessary to create stress conditions to induce hardware failures. Experience in embedded software development.