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KLA

semiconductor manufacturing · process control

Lead Analyst, Algorithm Research (Chennai)

ChennaiPosted 1 month ago
Computer ResearchSeniorFull Time; Regular
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Company Overview 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 we invest 15% of sales back into R&D.; Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division JobDescription/Preferred Qualifications Preferred Qualification: Bachelor's or Masters 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 prospect 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 effe .

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