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KLA Product Engineer 
United States, California, Milpitas 
222757310

31.08.2025

Job Responsibilities:

  • Serve as the central technical resource / interface with design engineering, manufacturing, technical support, quality, marketing and field as the product(s) move through the Product Life Cycle

  • Proactively optimize serviceability, reduce cost-of-service through all stages of the PLC, and improve short- and long-term product service performance.

  • Drive continuous improvement of system hardware, diagnostics and software, tooling, technical documentation, knowledge management, and training

  • Influence early PLC designs to include features that will optimize KLA’s service business: calibrations and diagnostics, Cost of Service (CoS), reliability, design tolerances, Intellectual Property (IP) protection.

  • Participate in beta and sustaining escalation efforts, analyze data from various sources, to provide a detailed action plan suitable for execution by Customer Service Engineer (CSE) and Technical Support Engineer (TSE)

  • Leverage learning and knowledge across the Technical Support organization through training classes, scripts, coaching, documents and updating other knowledge capture tools

  • Contribute and write technical reports to communicate issues, analysis, and best-known methods

  • Work with Learning and Knowledge Services (LKS) to determine the training requirements for new products and/or upgrades. Train the trainer and teach or co-teach initial courses. Audit service training courses to ensure their quality.

  • Help to define a plan, implement and optimize the spare parts that will be stocked to support field shipments. This includes taking into account reliability, diagnostics, inventory holding cost, training level and other factors

  • Perform hands-on work for integration of Alpha/Beta systems, including performing serviceability validation.

Preferred Qualifications:

  • Hands on experience with EUV tools or semiconductor processing equipment. Reticle equipment experience preferred.

  • Consistent track recordto work on sophisticated problems where analysis of situations or data requires an in-depth evaluation of various factors.

  • Results oriented and driven to excel.

  • Strong analytic and data analysis skills. Excellent oral and written communication skills.

  • Ability to work efficiently in multidisciplinary, multicultural teams and to take a leadership role when needed.

  • Background developing and delivering remote technical training applying virtual reality, augmented reality and video.

  • 15 - 25% Travel, International & Regional

Minimum Qualifications

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

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