Product Engineer Reliability Modeling Statistics

KLATencor Corporation • Ann Arbor, MI • 12h ago

Company OverviewKLA 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.

Group/DivisionThe 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.

Job Description/Preferred Qualifications

Job Scope and Complexity:

Initially understand reliability models, then gradually own and run them to generate engineering insights

Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions

Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely

Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results

Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain

Deliver written periodic reports to keep the wider team informed about status and progress

Present ideas and results in concise decks and summary documents

Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward

Eager to learn and adept at picking up new technical concepts and software

Be self-driven with a drive for problem-solving

Preferred Qualifications:

Familiarity with any commercial reliability software (e.g., ReliaSoft)

Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus.

Experience with failure mode analysis

Familiarity with SQL and PBI

Demonstrated experience using statistical and visualization packages for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus.

Master's degree or doctorate in related discipline is preferred

Experience in the framework of a Product Life Cycle and SEMI E10 definitions is a plus

Minimum Qualifications

Bachelor's Level Degree and 0 years related work experience mechanical engineering, electrical engineering, computer science engineering, statistics, or related engineering discipline

Demonstrated experience of advancing solutions to t

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