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Applied Materials brand and metro locations increase competition, but seniority and niche algorithm expertise limit applicant density.
Role requires specialized imaging and semiconductor inspection expertise, limiting cross-industry transferability.
Explicit 8–15 year requirement plus domain-specific algorithm, ML, and GPU production experience demands strict filters.
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Design and develop advanced AI/ML, computer vision, and image processing algorithms for semiconductor inspection systems.
Architect and implement production-grade XCT inline inspection algorithms including 3D reconstruction, feature detection, and defect analysis.
Optimize algorithm performance for large-scale datasets using multithreading, parallel computing, and GPU acceleration, ensuring accuracy and scalability in production environments.
8–15 years of experience in algorithm development, computer vision, image processing, or AI/ML.
Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or related field.
Proficiency in Python and C++/C#/equivalent programming languages.
Experience with production-grade software development and performance optimization techniques (multithreading, parallel computing, GPU).
Deep expertise in AI/ML, computer vision, and image processing applied to complex industrial or semiconductor inspection systems.
Experience working in cross-functional global teams delivering integrated hardware-software algorithm solutions.
Comfortable handling advanced computational challenges including 3D reconstruction and large-scale data processing pipelines in production environments.