Company Overview
Job Description/Preferred Qualifications
Key Responsibilities:
KLA is seeking applications for an Algorithm engineer in EBEAM division for developing next generation technologies in yield management for Semi-Conductor industry. This position involves developing advanced Image Processing and Machine Vision algorithms for the wafer Inspection, Review and Metrology products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification. In addition, we are actively exploring using Generative models (GAN) for SEM image simulation and image quality enhancement.
- This position involves developing advanced image processing algorithms for the wafer inspection and review.
- Designs and develops cutting edge image processing and machine learning algorithms
- 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 & review systems.
- Designs and implementations are always constrained to operate with the boundaries of robustness and stability.
- Real time requirements pose additional challenges and works extensively on providing solutions to live customer problems in the field.
- This position is unique as it interfaces with several system level groups - Optics, mechanics, sensors, and applications among others.
- The opportunities are boundless in the technical areas as we are constantly pushing the envelope of leading-edge technologies in algorithms and image computers.
- System level solutions for these complex automated inspection platforms. We are constantly innovating and releasing products every few months.
Minimum Qualifications
- New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred)
- The ideal candidate will have a working knowledge of Machine Vision.
- Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc.
- Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation,
- 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.
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.
Top Skills
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.







