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Company Overview
Group/Division
Job Description/Preferred Qualifications
Preferred Qualification:
Bachelor's or Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related fields.
Job Description:
As an Algorithm Engineer at KLA, you will design and implement advanced computer vision and machine learning algorithms to power next-generation semiconductor inspection and metrology systems. This role offers the opportunity to work on cutting-edge technologies and solve complex vision problems.
Key Responsibilities:
1. Develop and optimize image processing algorithms for defect detection and classification in semiconductor wafers.
2. Research and integrate image computer vision techniques to improve inspection accuracy and throughput.
3. Prototype algorithms in Python and transition to production-ready implementation in C++ under Windows and Linux environments.
4. Collaborate with cross-functional team to integration and build effective solutions
5. Ensure algorithm scalability and performance for real-time inspection systems.
Minimum Qualifications
Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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