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    Job · 21693639

    CHENNAI · FULLTIME

    Algorithms Development Manager

    Applied Materials

    Applied Materials

    Chennai · onsite · Posted 1d ago

    Sourced fromNaukri
    Undisclosed10–15 yrsfulltimeChennai

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    Section · 01

    About this role

    Who We Are

    Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the worlds technology.

    What We Offer

    Location:
    Bangalore,IND, Chennai,IND
    At Applied Materials, we care about the health and wellbeing of our employees. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .
    Who We Are
    Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

    About the Role
    We are seeking an experienced Algorithm Development Manager to lead a high-impact team developing advanced computer vision, machine learning, and image processing solutions for next-generation semiconductor equipment systems. A successful candidate will combine deep technical expertise with strong technical leadership to deliver innovative algorithm solutions that directly impact customer success and business growth.
    Key Responsibilities

    Leadership
    • Lead the development of advanced inspection and metrology algorithms for semiconductor wafer and advanced packaging applications.
    • Evaluate and incorporate emerging technologies in computer vision, image processing, machine learning, deep learning, and high-performance computing.
    • Define algorithm architecture, technical strategy, and development roadmaps aligned with product objectives.
    • Guide performance optimization for high-throughput production systems, including CPU, GPU, and parallel computing implementations.
    • Establish robust methodologies for algorithm quality, benchmarking, validation, characterization, and performance monitoring.
    • Build, lead, mentor, and develop a high-performing algorithm engineering team.
    • Drive hiring, onboarding, succession planning, and career development while fostering a culture of innovation, technical excellence, and continuous learning.
    Product Development
    • Collaborate with product management and applications engineering to translate requirements into differentiated product capabilities.
    • Drive feature definition, prioritization, and execution plan across multiple product releases.
    • Lead the investigation and resolution of critical customer escalations and field issues.
    • Partner with software, HPC, and systems engineering teams across India and United States to deliver scalable and high-performance solutions.
    • Drive end-to-end ownership of algorithm development, from concept and prototyping through integration, optimization, qualification, and product release.
    • Collaborate with global teams to leverage common infrastructure, shared technology platforms, and best practices.
    Minimum Qualifications
    • MS in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related technical discipline.
    • 10+ years of experience algorithm development on large-scale hardware-centric system.
    • 3+ years of technical leadership experience.
    • Strong programming skills in C++ and Python.
    • Experience with algorithm development for large-scale hardware-centric systems.
    • Proven ability to lead complex cross-functional projects.

    Preferred Qualifications
    • Experience in semiconductor inspection, metrology, or related semiconductor equipment industries.
    • Hands-on expertise in computer vision, ML/DL algorithms, and imaging systems
    • Experience with GPU programming and high-performance computing.
    • Strong technical communication skills.
    Additional Information
    Time Type:
    Full time
    Employee Type:
    Assignee / Regular
    Travel:
    Yes, 10% of the Time
    Relocation Eligible:
    Yes
    Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

    Sourced from naukri

    Section · 02

    Skills

    Algorithm developmentHpchigh performance computingComputer Visioncustomer successcharacterizationGpu ProgrammingApplied MathematicsEmerging Technologieselectrical engineeringAlgorithmsArchitectureDeep LearningArtificial Intelligence

    Section · Company

    About Applied Materials

    Applied Materials

    Applied Materials

    Semiconductors

    3.5k+

    employees

    2002

    24 years old

    Santa Clara, California

    United States (USA)

    About

    Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display, and solar photovoltaic industries.

    Industries

    SemiconductorsManufacturingEngineering & Construction

    Employee ratings

    573 reviews

    3.7/ 5

    Culture

    3.7

    Career growth

    3.1

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance94Work Culture74Senior Management54Salary53Learning43

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