Statistics, time series analysis, experiment design
Lead AI/ML strategy for Post Silicon validation by defining technical direction, model architectures, and data foundations that scale across products and sites
Job Summary
Lead AI/ML strategy for Post Silicon validation by defining technical direction, model architectures, and data foundations that scale across products and sites.
Architect and drive end to end AI systems: data pipelines, feature stores, training workflows, inference services, and MLOps governance.
Partner with validation, design, FW/BIOS, ATE, and product engineering teams to influence debug methodology and integrate AI insights into execution workflows.
Matching Summary
Lead AI/ML strategy for Post Silicon validation by defining technical direction, model architectures, and data foundations that scale across products and sites.
Skills & Requirements
Must-have
Python, ML frameworks (PyTorch/TensorFlow), SQL
Production grade ML systems design
Statistics, time series analysis, experiment design
Software engineering practices (Git, CI/CD)
Cross team technical alignment, clear communication