Image Processing Algorithm Engineer – Semiconductors

KLA

Milpitas (CA)

On-site

USD 136,000 - 232,000

Full time

13 days ago

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

ESP P (Stock Purchase)

Job summary

KLA in Milpitas, CA seeks a research scientist or software engineer to develop advanced image-processing and computer-vision algorithms for semiconductor wafer inspection. You will tackle challenging defects, push detection accuracy, and collaborate with cross-functional teams.

Ideal candidates hold a PhD (or MS with experience) in CS/EE/Applied Math or related field, have ML/DL framework experience, Python, MATLAB, C++, and Linux, and can drive production-quality software from prototype.

Qualifications

PhD in CS/CE/EE/Applied Mathematics/Physics or related field preferred and 1+ years of industry work experience.
Master's degree or equivalent experience with 3+ years of industry work experience

Responsibilities

Develop, characterize, and optimize advanced image-processing and computer-vision algorithms for semiconductor wafer inspection applications.
Support customer and factory escalations related to PDA performance, alignment accuracy, nuisance reduction, defect sensitivity, and inspection robustness.
Analyze large-scale inspection datasets to identify root causes, quantify algorithm performance, and recommend corrective actions.
Design and implement algorithm enhancements that improve detection capability, accuracy, throughput, and production stability.
Collaborate with Applications, Systems Engineering, Software Engineering, Product Management, and Customer Support teams to resolve critical customer issues and accelerate volume ramp activities.
Develop prototypes using Python, MATLAB, or equivalent tools and transition algorithms into production-quality software.
Evaluate and apply machine learning, deep learning, and AI-based approaches where appropriate to improve inspection and image-analysis performance.
Conduct algorithm characterization studies, develop performance metrics, and create validation plans for new features and improvements.
Drive data-driven decision making through statistical analysis, visualization, and automated evaluation frameworks.
Participate in requirement definition, feature development, code reviews, design reviews, and technical documentation.
Provide technical leadership for complex debugging and root-cause investigations involving imaging systems, design alignment, and defect detection algorithms.