About The Position

The Manufacturing Engineer will implement statistical process control (SPC), statistical analysis, Lean Six Sigma principles, and process optimization to increase product quality and manufacturing efficiency. The role focuses on data-driven decision-making and continuous process improvement in support of the development and sustainment of the X-ray Sources business unit. The engineer analyzes manufacturing data, monitors processes and equipment, conducts root cause analysis and FMEA, and works with Quality and Manufacturing Engineering to implement corrective and preventive actions. The position also supports lean initiatives and incoming quality assurance, documents process and test results, and develops and maintains standard work and process visualization materials. The successful candidate will develop subject matter expertise in data analytics and manufacturing process optimization, as well as in relevant X-ray manufacturing technologies and operations.

Requirements

  • B.S. or M.S. in engineering, statistics, or a science-related discipline; an accredited university is preferred.
  • At least 3 years of experience in a manufacturing environment; X-ray tube manufacturing is preferred.
  • Proficiency in statistical software such as Minitab, JMP, R, or equivalent for data analysis.
  • Lean Six Sigma Green Belt certification and/or lean manufacturing training.
  • Experience with DOE matrix creation and interpretation.
  • Proficiency in MS Office, specifically Excel, Word, Visio, and Project.
  • Strong written and verbal English communication skills.
  • Working knowledge of engineering disciplines, their interactions, and how their products and processes affect other engineering and non-engineering processes.
  • Ability to work as a self-starter with minimal supervision and coordinate proactively with team members to identify and resolve manufacturing quality issues.
  • Ability to adapt to changes in work tasks, situations, and department needs, and to treat changes and production issues as learning opportunities.
  • Ability to meet the stated physical demands, including sitting, walking or transporting, talking or hearing, reaching, grasping and feeling with the hands, lifting specified weights, seeing clearly at 20 inches or less, and distinguishing colors.

Nice To Haves

  • Lean Six Sigma Black Belt certification.
  • Experience in X-ray tube manufacturing.
  • Degree from an accredited university.

Responsibilities

  • Analyze manufacturing data to drive continuous improvement, reduce variability, and improve yield.
  • Develop and implement Statistical Process Control (SPC) to monitor variation and changes in manufacturing equipment and processes.
  • Conduct root cause analysis (RCA) and Failure Mode and Effects Analysis (FMEA) to resolve production issues.
  • Work with the Quality and Manufacturing Engineering team to implement corrective and preventive actions (CAPA) based on data-driven insights and customer feedback.
  • Support Kaizen events, Value Stream Mapping (VSM), and standard work initiatives to reduce waste and improve efficiency.
  • Use JMP to access and organize raw data and produce graphs and charts that communicate manufacturing yields and identify areas for improvement.
  • Oversee the performance of processes and tests and document their results.
  • Use problem-solving and decision-making tools to analyze situations or data and determine appropriate courses of action.
  • Develop, edit, and maintain standard work combination sheets, process flow charts, and value stream maps.
  • Support the incoming quality assurance team in resolving non-conforming report (NCR) action items and countermeasures.
  • Develop proficiency in data analytics, statistics, manufacturing process optimization, ultra-high vacuum design and requirements, clean room operations, machining technology, metal-to-ceramic brazing, electron X-ray optics, and high-voltage power supplies.
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