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Algorithm Engineer

External
KLA logoKla · Milpitas, CA
Full-timeOn-siteToday
ClassificationComputer VisionCross-functional CollaborationDocumentation
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Responsibilities

  • Algorithm Development
  • Design and implement advanced algorithms for image segmentation, classification, and defect detection tailored to inspection systems
  • Translate complex requirements into generalized mathematical models and develop customized algorithmic solutions
  • Innovation and Execution
  • Drive innovation by proposing novel approaches and delivering production-quality, maintainable code
  • Collaborate with field teams and customers to support algorithm deployments and ensure seamless integration of algorithmic solutions to inspection systems at customer sites, including occasional international travel
  • Software Engineering
  • Develop robust, scalable software using modern C++ and object-oriented programming principles
  • Contribute to long-term codebase health through thoughtful design, refactoring, and clear documentation
  • CUDA C++ and GPU-accelerated computing
  • Cross-functional Collaboration
  • Operate independently while partnering with hardware teams to optimize image quality and manage error budgets based on algorithmic performance

Requirements

  • PhD or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a related field.
  • PhD with 3+ years of relevant experience, or
  • MS with 6+ years of relevant experience
  • Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
  • Base Pay Range: $136,300.00 - $231,700.00 Annually
  • Primary Location: USA-CA-Milpitas-KLA

Benefits

Health insuranceDental insuranceVision insurance401(k)Paid time offFlexible scheduleEquity / stock options

Additional Information

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 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. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing. Job Description/Preferred Qualifications KLA is seeking an experienced Algorithm Engineer to join the Algorithm Group within the Reticle Product Division. This role focuses on the design and development of advanced algorithms for KLA's innovative inspection platforms, using expertise in image processing, computer vision, mathematics, and software engineering.


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