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
The vision of KLA’s global human resources organization is to become a leader and partner to operating leadership in support of the company’s efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards. The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations.Job Description/Preferred Qualifications
KLA is seeking a motivated algorithm engineer to join our algorithm group in the AI & Modeling Center of Excellence in Ann Arbor, MI, USA. In this position, you will bring your academic background and industry experience to develop and integrate algorithms into KLA’s innovative reticle inspection platforms. You will contribute technical expertise in a highly collaborative team to research, develop, and deliver production-grade algorithms involving Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision techniques.
In this role, you will:
Contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis
Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space
Collaborate with software and computer groups to design and implement data management, model training and inference flows
Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in Ann Arbor and in global project teams
Qualifications
Master's OR PhD Level Degree with foundation in signal/image processing
Academic or work experience required in any of the following areas: Image Processing, Detection, Image-Based Metrology, Computational Imaging, Computer Vision
Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred
Experience prototyping Algorithms using MATLAB or Python, and implementing algorithms using full-stack experience with object-oriented programming (OOP/OOD) in C++ under Linux is preferred
Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools
Great teammate with excellent written and verbal communication skills.
What will differentiate you:
The ideal candidate will have a strong understanding of and hands-on experience with image processing, computer vision, and related topics in deep learning.
Minimum Qualifications
Master's OR PhD Level Degree with foundation in signal/image processing
Academic or work experience required in any of the following areas: Image Processing, Detection, Image-Based Metrology, Computational Imaging, Computer Vision
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. 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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers websitefor legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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