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    Job · 12574761

    CHENNAI · FULLTIME

    Algorithm Manager

    KLA logo

    KLA

    Chennai · onsite · Posted 62d ago

    Sourced fromNaukri
    Undisclosed4–9 yrsfulltimeChennai

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    Section · 01

    About this role

    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
    With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLAs metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLAs Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industrys most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.
    Job Description/Preferred Qualifications
    Responsibilities:
    • Provide technical leadership in algorithm design and development for wafer inspection products.
    • Collaborate with system, product, and domain experts to define algorithm performance requirements and deliver customerdriven solutions.
    • Mentor and motivate engineers to solve complex technical and investigative problems.
    • Represent the algorithms team during systemlevel hardware and software integration.
    • Develop, validate, and deploy image processing, computer vision, and machine learning algorithms.
    • Support software quality and reliability activities as part of the development lifecycle.
    Qualifications:
    • Strong background in image processing and computer vision; working knowledge of machine learning and deep learning.
    • Proficient in C/C++ and MATLAB; experience on Unix/Linux platforms.
    • Handson experience with objectoriented and/or functional programming.
    • Python and ML frameworks (e.g., TensorFlow) experience is a plus.
    • Strong problemsolving skills with the ability to work effectively in a fastpaced environment.
    • Good communication and collaboration skills with emerging technical leadership capability.
    Minimum Qualifications
    PhD in CS/EE/Math/Physics with 3+ years of experience, or MTech/MS/BTech/BS in CS/EE with 6+ years of experience.
    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 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

    Sourced from naukri

    Section · 02

    Skills

    MatlabAlgorithm DesignDramChip designimage processingAutomotiveComputer Visionfunctional programmingbsLaserMetrologyMathFoundryAlgorithmsDeep LearningManufacturingApplication DevelopmentLinuxMachine Learning

    Section · Company

    About KLA

    KLA logo

    KLA

    Semiconductors

    900

    employees

    1976

    50 years old

    Milpitas, California

    India

    ₹25.9L PA avg

    Avg at KLA

    About

    KLA is a leader in process control using advanced inspection tools, metrology systems, and computational analytics.

    Industries

    SemiconductorsEmerging TechnologiesSoftware Product

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