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. Job Description/Preferred Qualifications 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.

Problem-Solving:

Strong analytical and problem-solving skills to identify and resolve complex tool-related issues.\n

Meticulous:

Excellent attention to detail, ensuring accurate analysis and identification of excursions or outliers.\n

Technical Skills:

Proficient in programming languages (such as Python), statistical analysis techniques, data visualization tools, and semiconductor process control methodologies. Proficiency in interpreting, developing, and modifying Shell and Python scripts to automate tasks and improve efficiency.\nProficiency in

Analytical Tools:

Experience working with dedicated analytical tools used in the semiconductor industry for real-time data analysis and monitoring, such as JMP and SQL.\n

Communication and Influence:

Strong communication and influencing skills to collaborate with other teams, present findings, propose solutions, and engage with local teams and customers.\n

Adaptability:

Ability to work in a fast-paced and dynamic environment, quickly adapting to changing priorities and requirements.\n

Industry Knowledge:

Up-to-date knowledge of semiconductor manufacturing processes, process control methodologies, and equipment technologies.\n

Education:

Bachelor's or Master's degree in Statistics, Computer Engineering, Electrical Engineering, or a related field.\n

Experience:

Demonstrated ability working in the semiconductor industry, with the focus on areas including but not limited to process control, lithography, fab equipment management

Responsibilities:

Fleet Management:

Ensure the fleet and individual semiconductor equipment tools meet commitments in terms of availability, throughput, and consistency.\n

Tool Connectivity:

Ensure the data pipelines between the process control tools and the dedicated analytical platform work as expected.\n

Statistical Analysis:

Conduct statistical analysis on tool data and component performance to identify trends, patterns, and tackle potential issues that impact fleet of tools.\n

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.\n

Fleet:

Regularly assess the availability and performance of the tool fleet, measuring throughput and discovering opportunities to optimize the availability and throughput combination.\n

Performance and Configuration Matching:

Ensure consistency and alignment in tool performance and configurations across the fleet, maintaining high standards of quality and reliability.\n

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.\nImpact 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.\n

Documentation:

Capture actions and analysis against new insights, document reasoning and analysis, and assemble lessons learned.\n

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.\nTechnical 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

Base Pay Range:

$78,200.00 - $132,900.00

Annually Primary Location:

USA-AZ-Phoenix-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. 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