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    Software Engineer - Austin, United States - KLA

    KLA
    KLA Austin, United States

    2 weeks ago

    Default job background
    Description

    Base Pay Range:
    $98, $167,500.00 Annually


    Primary Location:
    USA-TX-Austin-KLA


    KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below.

    Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location.

    The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting.

    Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training.

    If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

    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 world's leading technology providers to accelerate the delivery of tomorrow's 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


    Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team.

    The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process.

    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.

    Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis.

    Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies.

    As a member of the MACH team, you'll be joining the most sophisticated and successful process-control company in the semiconductor industryworking across functions to solve the most complex technical problems in the digital age.

    Job Description/Preferred Qualifications


    Software Engineer (AI/ML) may work on a variety of tasks including platform for large scale software system, data management, machine learning model training and inference solutions for KLA products.

    Strong analytical capabilities and problems solving skills are crucial. Familiarity with Machine Learning and Deep Learning solutions would be a big plus.


    Successful candidates are passionate about software and will have exceptional skills and hands on experience with development in Python, C++, C# or Java.

    Deep conceptual understanding of multi-threaded and multi process software systems is also necessary.

    In addition to the above fundamental software skills, any of the following technical hands-on skills are highly desirable.

    Data Structures and algorithms
    Traditional machine learning using Random Forest, XG Boost, Logistic Regression.
    Deep Learning for regression, classification and Generative models.
    TensorFlow or Pytorch, NumPy, scikit-learn, and other ML and DL frameworks.
    Distributed systems for data management.
    Distributed computing infrastructure.
    Cloud technologies for storage, containerization and compute clusters.
    GPU architectures and data management.

    Successful candidates for this position will also demonstrate the following non-technical skills.

    Capability to formulate creative solutions through analyzing complex data
    Good communication skills
    Strong team player and motivated by team success
    Strong problem-solving skills

    Minimum Qualifications

    Masters level degree or a PhD degree


    The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

    KLA is proud to be an Equal Opportunity Employer.

    We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.

    We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

    Please contact us at to request accommodation.
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