Principal Systems Software Engineer, Semiconductor Systems Inspection
Core
Architect and build AI systems for semiconductor inspection, metrology, and manufacturing intelligence, enabling partners to integrate models into their tools for defect detection and root-cause analysis.
Role type
Principal Systems Software Engineer (Semiconductor AI)
Builds
Production-ready AI models, workflows, and inference capabilities for optical/e-beam inspection and metrology.
Domain
Semiconductor manufacturing, Computer Vision, Time-series modeling, Multimodal AI
Deliverable
production ML models
Required skills
Architectural direction, Deep learning, Computer vision, Model adaptation, Domain transfer, Inference optimization, Python, PyTorch/TensorFlow, GPU reasoning, Fab data systems
Preferred skills
World foundation models, Anomaly detection, Synthetic data, Self-supervised learning, SDK development
Responsibilities
Define and prototype AI system architectures for inspection and metrology; Advance foundation model capabilities for manufacturing; Develop defect detection and classification workflows; Establish evaluation methods for model robustness under domain shift; Design fab-local evaluation workflows; Connect inspection results with equipment signals and yield outcomes; Design agentic workflows for air-gapped fabs; Optimize inference for production latency and throughput; Collaborate with fabs and equipment manufacturers to deploy capabilities.
Seniority
Principal, hands-on IC with architectural leadership
