Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage

Responsibilities: Lead the convergence of AI, silicon design analysis, and systems engineering for diagnostic software Architect and build generative AI tools and agentic workflows using ASIC specifications and system telemetry Enhance hardware diagnostic software to achieve broad test coverage across components and interfaces Optimize test execution time and identify optimal repair actions through advanced AI systems Drive end-to-end ML work including deployment, evaluation, data processing, and debugging in production environments Contribute to the design, architecture, testing, and launch of software products related to infrastructure systems Collaborate with TPU/accelerator, networking, and storage teams to scale AI capabilities across Google’s compute fabric Influence platform strategy with a focus on reliability, efficiency, and velocity of diagnostics and repair workflows

Key requirements: Bachelor’s degree or equivalent practical experience 8 years of software development experience 7 years leading technical project strategy, ML design, and end-to-end ML 5 years in design and architecture and launching software products 5 years in one or more: speech/audio, reinforcement learning, ML infrastructure, or related ML field Experience designing, implementing, and troubleshooting hardware diagnostics Leadership and cross-functional collaboration Problem solving and analytical thinking Adaptability and enthusiasm for new problems Advanced proficiency in C++ or Rust Experience with ML frameworks and data processing tools Knowledge of computer architecture, ASIC/SoC blocks, high-speed interfaces, hardware failure modes