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 worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems.
There is never a dull moment with us.
Job Description/Preferred Qualifications :
- The Customer Acceptance (CA) team plays a critical role in driving customer success. The team is responsible for the full qualification and on-time delivery of KLA tools to leading semiconductor customers worldwide, including Intel, Samsung, TSMC, and others.
Key Responsibilities :
- Lead and execute tool qualification in accordance with customer specifications and acceptance criteria
- Perform comprehensive data analysis and manage large, complex datasets to support qualification decisions
- Proactively identify, troubleshoot, and resolve HW, application, and quality issues
- Drive execution within predefined schedules, ensuring alignment with customer expectations and delivery commitments
Requirements: - BA/ BSc in Statistics/Information Systems, Practical Engineer in Electronics or a related field.
- Strong proficiency in Excel; experience with JMP and Python - an advantage.
- High level of English proficiency (written and verbal).
- Proven ability to work with and analyze large datasets.
- Fast learner with a strong analytical attitude.
- Team player with strong collaboration skills.
- Ability to work under pressure and meet tight deadline.
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This position is open to all candidates.