The Staff Algorithm Engineer role at KLA focuses on developing advanced imaging and computational solutions for next-generation eBeam inspection systems. This position is suited for experienced engineers or scientists who enjoy tackling complex, multidisciplinary problems in areas such as image processing and deep learning. The role involves collaboration with various engineering teams to enhance semiconductor manufacturing processes. Candidates will contribute to algorithm development and deployment, driving innovation in technology.

• Master's degree or Ph.D. in Computer Science, Electrical Engineering, Physics, Applied Physics, Applied Mathematics, Optical Engineering, or a related technical discipline.
• Demonstrated experience developing algorithms or mathematical models for complex imaging, scientific, or engineering applications.
• Strong programming skills in Python and/or C++.
• Experience with PyTorch, TensorFlow, or similar machine-learning frameworks.
• Experience in computer vision, image processing, or deep learning.

• Collaborate with electron optics and systems engineering teams to model SEM image formation and understand imaging performance.
• Develop advanced image restoration and defect detection algorithms for low signal-to-noise SEM imaging.
• Apply computer vision, image processing, deep learning, and physics-guided modeling techniques to semiconductor inspection challenges.
• Design and develop digital twin and synthetic SEM simulation capabilities for internal data generation.
• Partner with applications teams and customers to understand semiconductor manufacturing processes and their impact on SEM imaging.

• Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.