About the job
Are you ready to lead the charge in transforming the semiconductor manufacturing and automation sector with innovative AI and machine learning technologies? NVIDIA is seeking a dynamic Director of Software Engineering to build and lead a team of researchers, engineers, and data scientists. You will be at the forefront of our Metropolis for Semiconductor Manufacturing platforms, driving innovations that improve automation, product inspections, anomaly detection and yield improvement workflows. Join us in Santa Clara, CA, and contribute to an era where AI revolutionizes how multi-modal visual and time-series sensor data are collected, analyzed, and applied!
Responsibilities
Define the vision and architecture for AI-powered semiconductor inspection systems spanning optical, e-beam, wafer and mask inspection, metrology, and defect review — translating research into scalable, production-grade platforms.
Own the strategy for agentic inspection solutions in air-gapped fab environments, covering data triage, model inference, review assistance, root-cause analysis, human-in-the-loop approval, and secure deployment.
Drive integration and evolution of inspection workflows across defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR pipelines.
Set the standard for taking research into customer-ready products, with clear evaluation, failure analysis, monitoring, and production deployment paths.
Exhibiting a strong interest in the development of novel ML/AI methodologies and agentic pipelines in manufacturing processes.
Leading the development of “AI copilots” for semiconductor inspection using NVIDIA’s NIMs and Blueprints.
Collaborating with robotics teams to build and validate autonomous systems before deployment.
Be responsible for the Engineering roadmap for “AI for Semiconductor Inspection and Manufacturing” solutions, aligning technical directions with business outcomes.
Represent NVIDIA in strategic customer engagements and work alongside multi-functional groups across regions to address key challenges.
Work with leading semiconductor manufacturers to land AI applications in production fabrication and partner with major tool vendors to reach the largest installed base, extending from inspection into process control and yield, where customers measure business impact.
Qualifications
Minimum
MS or PhD in VLSI Engineering, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
15+ overall years of validated experience in semiconductor manufacturing involving the building and development of tools and processes.
5+ years of leading and managing control of planning, staffing, budgeting, and expense prioritization, as well as recommending and implementing changes to methods
Experience collaborating with multiple departments to address common automation challenges.
Knowledge of vision and signal-based measurement methods and metrology data workflows.
Track record in developing algorithms aimed at predictive analytics and machine learning with demonstrated improvement outcomes.
A consistent track record of keeping ahead of the latest trends in manufacturing and automation.
Strong communication skills with phenomenal attention to detail.
Preferred
No preferred qualifications listed.