Fleet Engineer
KLA
About KLA
KLA provides advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible. We tackle complex challenges, from electron and photon optics to machine learning and data analytics, seeking perfection at the most fundamental level of matter.
About the Role
The KLA Services team maximizes the value of customer assets through highly trained service and product support engineers. As a Fleet Engineer, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
What You'll Do
- Measure fleet performance, discover opportunities for optimal availability and throughput.
- Capture and document insights and analysis.
- Recommend analytical features and craft data science models to tackle technology and process challenges at the local fab level.
Key Responsibilities
- Fleet Management: Ensure the fleet and individual semiconductor equipment tools meet commitments in terms of availability, throughput, and consistency.
- Tool Connectivity: Ensure data pipelines between process control tools and the analytical platform function correctly.
- Statistical Analysis: Conduct statistical analysis on tool data and component performance to identify trends, patterns, and address potential issues impacting the fleet.
- Excursion Identification: Monitor tool behavior and data to identify excursions, anomalies, or deviations from expected performance and collaborate with partners for root cause analysis.
- Fleet Assessment: Regularly assess the availability and performance of the tool fleet, measuring throughput and identifying opportunities for optimization.
- Performance and Configuration Matching: Ensure consistency and alignment in tool performance and configurations across the fleet.
- Teamwork: Engage with internal and external partners to cultivate effective collaboration, understand requirements, address concerns, and build strong partnerships.
- Impact the Product: Assess local teams' and customers' feedback, and recommend features to improve the analytical platform, tool performance, and user experience.
- Documentation: Capture actions and analysis against new insights, document reasoning, and assemble lessons learned.
- Continuous Improvement: Analyze industry trends and propose innovative solutions to enhance tool performance, availability, and throughput. Streamline feature requests by abiding to design for excellence principles.
Requirements & Tech Stack
- Programming Languages: Python
- Scripting: Shell and Python scripts for automation.
- Analytical Tools: JMP, SQL, and dedicated analytical tools for real-time data analysis and monitoring in the semiconductor industry.
- Operating Systems: Familiarity with Linux and command line operations.
- Methodologies: Statistical analysis techniques, data visualization tools, and semiconductor process control methodologies.
Qualifications
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Strong communication and influencing skills.
- Ability to work in a fast-paced and dynamic environment.
- Up-to-date knowledge of semiconductor manufacturing processes, process control methodologies, and equipment technologies.
- Demonstrated experience working in the semiconductor industry, with a focus on areas including process control, lithography, and fab equipment management.
- Education: Bachelor's or Master's degree in Statistics, Computer Engineering, Electrical Engineering, or a related field.