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    Job · 20500397

    BENGALURU · FULLTIME

    Physics AI Scientist

    Applied Materials

    Applied Materials

    Bengaluru · onsite · Posted 13d ago

    Sourced fromNaukri
    Undisclosed5–6 yrsfulltimeBengaluru

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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
    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 .
    Role Summary
    Develop next-generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate simulation and engineering design.
    Key Responsibilities
    • Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems.
    • Design and train surrogate models, operator-learning models, and foundation models for scientific simulations.
    • Collaborate with domain experts to formulate AI solutions for complex engineering challenges.
    • Develop scalable data generation, training, validation and deployment workflows for Scientific AI models.
    • Publish technical innovations and drive adoption of Scientific AI across engineering applications.
    Preferred Qualifications
    • Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.
    • Strong background in scientific machine learning and numerical simulation.
    • Experience with surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.
    • Proficiency in Python and PyTorch.
    • Experience with HPC, distributed training, large-scale scientific datasets or scalable ML workflows.
    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

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    Section · 02

    Skills

    Engineering Designmaterials scienceHpcai modelsmathematicsChemistrychemical engineeringPhysicsApplied MathematicsPytorchdeploymentScientific ComputingMechanical EngineeringPythonAi SolutionsArtificial IntelligenceMachine Learning

    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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