Computer Vision/Machine Learning Engineer
4 weeks ago
KLA is seeking a highly skilled Algorithm Engineer to join our EBeam division. As a key member of our team, you will be responsible for developing advanced image processing and machine learning algorithms for wafer inspection, review, and metrology products.
Key Responsibilities:
- Design and develop cutting-edge image processing and machine learning algorithms for wafer inspection and review.
- Collaborate with Application Engineers and Customers to design, develop, and productize solutions at customer sites.
- Support the adoption of eBeam solutions at customer sites.
- Implement system-level solutions to push the limits of sensitivity on semiconductor inspection and review systems.
Requirements:
- Ph.D., Masters with 3-6 years' experience, or bachelor's with 5-8 years' experience.
- Knowledge of Deep Learning with working experience in TensorFlow, PyTorch, etc.
- Ability to formulate problems into mathematical equations.
- Proficiency in computational methods, C++, and object-oriented design.
- Team player with good written and verbal communication skills.
About KLA:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. We invent systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.
Why Join KLA:
KLA offers a total rewards package that is competitive and comprehensive, including medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off, and paid company holidays, and family care and bonding leave. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other status protected by applicable law.
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