Senior Algorithm Engineer — AI & Image Processing

KLA-Belgium; Milpitas (CA); On-site; USD 136,000 - 232,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

Employee stock purchase program

Job summary

KLA is seeking a Senior Algorithm Engineer to join the Surfscan division in Milpitas, CA. You will develop advanced algorithms for wafer inspection, focusing on image and signal processing, AI techniques, and production-grade software across the full lifecycle.

Qualifications include a PhD in EE/CS/Physics or equivalent, plus expertise in C/C++, MATLAB/Python, and GPU programming. Collaboration with a global interdisciplinary team is essential.

Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.
• Proven track record in image segmentation, texture analysis, classification, feature extraction, and statistical data analysis.
• Strong knowledge of signal processing, filter theory, machine learning, and deep learning; proficiency in C/C++, Matlab/Python.

Responsibilities

• Develop image, signal processing and AI algorithms for optical inspection and metrology systems.
• Model, prototype, and implement production software; characterize performance and document results.
• Collaborate with cross-functional teams for prototyping and testing across the life cycle of algorithms.

Skills

Image processing

Algorithm development

C/C++

Matlab/Python

GPU programming

CPU optimization

Machine learning

Deep learning

Cross-functional collaboration

Communication

Education

Doctorate in EE/CS/Physics

Master's degree

Bachelor's degree

Tools

CUDA

Job description

KLA is seeking a Senior Algorithm Engineer to join the Surfscan division in Milpitas, CA. You will develop advanced algorithms for wafer inspection, focusing on image and signal processing, AI techniques, and production-grade software across the full lifecycle.

Qualifications include a PhD in EE/CS/Physics or equivalent, plus expertise in C/C++, MATLAB/Python, and GPU programming. Collaboration with a global interdisciplinary team is essential.