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    Sr Product Engineer - Data Science Job in San Jose - CA, United States

    ASML is one of the world’s leading manufacturers of chip-making equipment.

    Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

    ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

    Working at ASML
    We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

    As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

    But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

    So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

    Sr Product Engineer - Data Science Job Description

    Introduction
    ASML US, LP brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.

    Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ and San Jose, CA. We are proud of bringing together the brightest minds all over the world to tackle the most challenging problems in making faster and smaller chips. As part of our team, you will have the opportunity to go beyond yourself in developing more advanced techniques and push the technology boundaries.ASML San Jose, CA is an industry leader in computational lithography for integrated circuits. Our Tachyon platform enables capabilities that address chip design, photomask making and wafer printing for semiconductor manufacturing and the LithoTuner platform enables lithography optimization for ASML’s leading photo lithography tools, known as ‘scanners’.  

    Job Mission
    Are you ready for the challenge? Do you want to be part of a team that's changing the way the semiconductor industry operates and opening the gates from “can’t do” to “can do”?

    ASML located in San Jose, CA is seeking highly motivated and talented individuals to join our innovative team of engineers and business professionals to accelerate our leadership in delivering design and Manufacturing solutions to our customers. ASML is the worldwide leader in computational lithography; ASML's Tachyon enables a unique set of capabilities that address the interrelated challenges of design, photomask making and wafer patterning for semiconductor manufacturing. 

    Job Description
    This position reports to ASML's FAB Product Engineering Manager and works with the team to solve the challenge of shrinking in critical dimensions from 14nm, and below. Responsibility includes develop and deploy Process Window Optimization products to drive ASML scanner control solutions to enable our customers to achieve operation excellence in high volume manufacturing environment.

    Process Window Optimization products enable yield improvement by applying ASML models
    and metrology data. Product engineers are the bridge between R&D and customer applications. You will own the application requirements for new products and/or new features, application development, and highly technical 2nd line product support. 

    Product engineers play a key role in shaping and directing product growth and development. You will interact with customers to gain understanding of their technical requirements, effectively translate these requirements onto new product capabilities, conduct new product feasibility studies working with R&D, support ASML’s on-site customer support engineers, and be responsible for new product introductions including educating on-site engineers about new products.
     

    Sr Product Engineer - Data Science Job Requirements

    Education
    M.S. and above in electrical engineering, physics, chemical engineering, IC manufacturing, or process technology related fields or equivalent experience.

    Experience

    • 2-3 year experience related to advanced semiconductor photolithography
    • Strong software skills, familiarity with at least one scripting language for the application such as R, Python, or MATLAB
    • On-job experience in developing data analysis and processing scripts
    • Ability to read scripts from others and make modifications or improvements
    • Strong verbal and written communication and presentation skills, in person or via conference calls. Clear and self-explanatory reports
    • Working knowledge of statistical analysis and machine learning on large volume of data and data driven decisions.
    • Experience in yield analysis, root cause identification, and improvement through process control.
    • On the job experience in wafer fab data analysis for improvement of FDC, APC and SPC.
    • Experience in modeling and simulation, able to develop physics based or empirical models, proficiency in math.
    • A strong lithography background with in-depth understanding of imaging, focus, overlay, and metrology.
    • On-the job accomplishment in developing innovative ways (not standard documented procedure) to solving real application issues (not hardware defects).
    • Experience and strong skills in defining, executing, and concluding independent studies based on high level goals, attention to detail
    • Ability to influence others by presenting objective argument backed by data, giving constructive feedbacks, and building consensus and pushing for progress towards positive directions
    • Possess the ability to work effectively with people in different organizations and different regions, with different specialty and skill levels.

    Context of the position
    This position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer is required. May stand for extended periods when facilitating meetings.

    The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described. 

    Other information
    EEO/AA (W/M/Vets/Disability) Employer 

    Sr Product Engineer - Data Science Application Information

    EEO/AA (W/M/Vets/Disability) Employer 

    Sr Product Engineer - Data Science Summary

    Education Backgrounds: Mechanical Engineering
    Physics
    Specialties: Algorithms
    Experimental Physics
    FEM/FEA Analysis
    Mechatronics
    Process Engineering
    Education Level: Postgraduate (Masters)
    Doctorate (PH.D)
    Experience: 0 - 2 years
    2 - 5 years
    Languages spoken: English
    Job Location: San Jose - CA, United States
    Keywords: IC, chemical, manufacturing, process, technology, physics, software, python, matlab, FDC, APC, SPC,

    Apply

    ASML

    Veldhoven, Netherlands
    HR Department
    View Company Profile More Jobs with

    Type: Job

    Deadline: 22nd December 2024

    Job reference (ID): 13824

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