About referral program - Anyone who has an eLitmus account (do not have to be a KLA employee) can refer their friends to this job. More details are enclosed below. Also at the time of applying if no friend referred you - please enter 'None'.

About the Company:

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. 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. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Eligibility:

• 2020/21/22 batch B.E. / B.Tech, M.E / M.Tech / Dual, MS (Research), PhD
• Branches: CS / IT, Electrical and Electronics related, Mechanical, Physics
• Good academics 
• Candidates from only the following Institutes
  • IITs - Bombay, Delhi, Madras, Kanpur, Roorkee, Kharagpur, Guwahati, Varanasi, Indore, Gandhinagar, Hyderabad
  • BITS, Pilani
  • IISc, Bangalore

Referral:

Anyone who has an eLitmus account can refer their friends to this job. As a token of gratitude eLitmus will pay you a cash reward (paid to a bank account of an Indian resident post applicable tax deductions by eLitmus):

• ₹ 1,00,000 per successful referral
• For detailed terms, please visit the referral program link given above.

Job 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 enhance.

Responsibilities:

• 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.
• 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

Qualifications:

• Developing AI & ML Based Applications in Computer Vision or Image Processing based projects
• Strong fundamentals in programming is desired 

Referral:

Anyone who has an eLitmus account can refer their friends to this job. As a token of gratitude eLitmus will pay you a cash reward (paid to a bank account of an Indian resident post applicable tax deductions by eLitmus):

• ₹ 1,00,000 per successful referral
• For detailed terms, please visit the referral program link given above.