Fleet Engineer

Fleet Engineer

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.

The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services.

Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.

The successful fleet engineer will be responsible for measuring fleet performance, discovering opportunities for optimal availability and throughput, capturing and documenting insights and analysis. Responsibilities also include recommending analytical features, crafting data science models to tackle technology and process challenges at the local fab level. Strong communication and influencing skills will be essential in delivering against company's objectives.

Responsibilities:

• Fleet Management:
  Ensure the fleet and individual semiconductor equipment tools meet commitments in terms of availability, throughput, and consistency.
• Tool Connectivity:
  Ensure the data pipelines between the process control tools and the dedicated analytical platform work as expected.
• Statistical Analysis:
  Conduct statistical analysis on tool data and component performance to identify trends, patterns, and tackle potential issues that impact fleet of tools.
• Excursion Identification:
  Monitor tool behavior and data to identify excursions, anomalies, or deviations from expected performance and collaborate with the appropriate partners to facilitate root cause analysis.
• Fleet:
  Regularly assess the availability and performance of the tool fleet, measuring throughput and discovering opportunities to optimize the availability and throughput combination.
• Performance and Configuration Matching:
  Ensure consistency and alignment in tool performance and configurations across the fleet, maintaining high standards of quality and reliability.
• Teamwork:
  Engage with internal and external partners to cultivate effective collaboration, understand their requirements, address concerns, and to build strong partnerships in dynamic matrix organization.
• Impact the product:
  Assess local teams' and customers' feedback, and recommend features that would address the gaps and improve analytical platform, tool performance, and user experience.
• Documentation:
  Capture actions and analysis against new insights, document reasoning and analysis, and assemble lessons learned.
• Continuous Improvement:
  Stay updated with the latest advancements in process control tools, analyze industry trends, and propose innovative solutions to enhance tool performance, availability, and throughput. Streamline the feature requests by abiding to design for excellence principles.
• Technical skills:
  Be familiar with Linux and command line operations for efficient tool configuration, and data analysis tasks.

Minimum Qualifications:

Master's Level Degree and 0 years related work experience;
Bachelor's Level Degree and related work experience of 2 years