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Engr, Algorithm 3

3 months ago

Bengaluru, Karnataka, India 3110 K-T India Full time

Description

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

Graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred) with years of experience. 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.