Key Responsibilities
Develop and optimize algorithms for image processing, defect detection, pattern recognition, classification, and image registration.
Combine classical computer vision techniques with deep learning models to solve complex inspection challenges.
Perform algorithm validation, feasibility studies, benchmarking, and data analysis.
Work with large semiconductor inspection datasets and build data pipelines.
Collaborate with Product, Software, Systems, Applications, and Engineering teams.
Support algorithm integration into production systems and customer deployments.
Present technical solutions to internal stakeholders and customers.
Key Requirements
Master's Degree or Ph.D. in Computer Science, Electrical Engineering, Computer Vision, Image/Signal Processing, or related field.
7-15 years of experience in image processing, computer vision, and algorithm development.
Strong expertise in: Computer Vision & Image Processing Applied Mathematics Deep Learning (PyTorch, TensorFlow) Python Programming OpenCV / Scikit-Image
Experience with Computational Geometry, Pattern Search, Pattern Matching, GDSII, OASIS, EDA, CAD Algorithms, Layout Processing, Geometric Algorithms.
Semiconductor wafer inspection or industrial inspection experience preferred.
Knowledge of C/C++, Java, CUDA/OpenCL, and MATLAB is an advantage.
Excellent problem-solving, communication, and stakeholder management skills.
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Additional Information
Time Type
Full time
Employee Type
Assignee / Regular
Travel
Yes, 10% of the Time
Relocation Eligible
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
