Principal Systems Software Engineer, Semiconductor Systems Inspection

What you'll do

• Design AI architectures and workflows for inspection, metrology, defect analysis, and equipment time-series anomaly detection.
• Develop evaluation and fab-local adaptation methods that address limited data, domain shift, and customer data sovereignty.
• Optimize and package inference for production constraints, and work with fabs and equipment manufacturers to support deployment.

What they ask for

• MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
• 12+ years of professional software or algorithm engineering; 8+ years in semiconductor manufacturing; and 4+ years in hands-on AI-related work, including within the last 24 months.
• Hands-on delivery of software shipped in semiconductor equipment, operated in a fab, or adopted by a manufacturing customer.
• Strong Python skills, production experience with PyTorch or TensorFlow, and working GPU literacy.

Nice to have

• Experience adapting large pretrained vision, multimodal, or world foundation models to industrial domains.
• Experience in anomaly detection, time-series modeling, synthetic data, domain adaptation, model compression, or inference optimization using NVIDIA technologies.

Pay

272,000 USD - 431,250 USD base salary

Tools

Python, PyTorch, TensorFlow, NVIDIA technologies

AI focus

Develops semiconductor manufacturing AI, including computer vision, time-series and multimodal modeling, anomaly detection, model adaptation, evaluation, agentic workflows, and production inference.