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    R&D Staff Engineer - Sunnyvale, United States - Synopsys

    Synopsys
    Synopsys Sunnyvale, United States

    1 week ago

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    Description
    R&D Staff Engineer – Image Processing

    Synopsys is looking for a highly motivated software engineer to help enable leading edge semiconductor manufacturing processes by joining our computational lithography modeling team.

    As part of the Proteus R&D team, you will have a unique opportunity to apply image processing techniques to improve the computation of Fourier imaging systems, with complex software engineering requirements, to help solve previously unsolved problems and enable next generation semiconductor manufacturing.

    This dynamic, collaborative, and exciting environment offers plenty of opportunities for both broad exposure to new technologies, as well as the ability to learn deeply within specific modeling topics.


    The responsibilities include:
    Maintaining and improving existing mathematical models accuracy and consistency through improved image processing techniques

    Working withfield support team andcustomers to understand new technical requirements

    Designing and utilizing innovative, image processing techniques

    Creating specifications for prototyping, and developing new modeling solutions

    Collaboratingwith cross functional teams to integrate modeling solutions into existing products

    Reducing computational burden for current image processing solutions

    Understanding and exploring Machine Learning based options for improving image quality and computation


    Qualification Requirements:
    Demonstrated analytical and problem-solving skills with strong desire to explore new technologies

    Solid programming skills in C++ and Python and familiar with data structures and algorithms

    Strong background in physical modeling, statistical analysis and optimization

    Experience in numerical computation

    Good communication skills and the ability to work in a team environment

    MS in CS/EE/physics/applied math or relatedfields with 3+ years, or PhD inrelatedfields


    Nice to have:
    Experience in computational lithography, image processing, or machine learning

    Experience in the development oflarge,complex software projects


    The EDA Group is focused on solving the semiconductor design industry's high-value problems, including the march to angstroms, multi-die system integration, rapid node migration, right-first-time silicon, and reliability.

    Our full EDA software stack, spanning system architecture, design capture, verification, implementation, signoff, silicon lifecycle management (SLM), TCAD, and silicon manufacturing, enables our customers to rapidly bring high-performance chip designs to market.

    Our EDA stack is further augmented with hyperconvergence, AI engines, and data analytics that enable our customers to target their toughest productivity bottlenecks at every stage of chip design.

    At Synopsys, we're at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we're powering it all with the world's most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.

    Stay Connected:
    Join our

    Talent Community
    Inclusion and Diversity are important to us.

    Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

    The base salary range across the U.S.

    for this role is between $155, $233, In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses.

    Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
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