Principal Systems Software Engineer, Semiconductor Systems Inspection
Core
Developing production-ready AI products for semiconductor defect inspection, including anomaly generation, inspection workflows, and inference pipelines for optical/e-beam inspection environments.
Role type
Principal Systems Software Engineer (Semiconductor AI Inspection)
Builds
AI models, adaptation workflows, and inference pipelines for semiconductor manufacturing inspection.
Domain
Semiconductor manufacturing, computer vision, and industrial AI.
Deliverable
production ML models
Required skills
Systems design and architecture, deep learning, computer vision, Python, model adaptation, domain transfer, technical leadership
Preferred skills
Semiconductor inspection, knowledge distillation, model compression, anomaly detection, NVIDIA deployment tools (TensorRT, CUDA, Triton)
Responsibilities
Define and prototype AI system architectures for defect inspection, advance WFM capabilities for multimodal representation learning, partner to integrate computer vision workflows, design agentic inspection flows for air-gapped fab environments, apply semiconductor metrology context to improve model quality, address noisy/shifting fab data through calibration and augmentation, turn research into customer-ready products, work with cross-functional teams to set priorities.
Seniority
Principal, hands-on IC with strategy & mentorship
