Position Purpose/Summary:

The Manufacturing Engineer will be responsible for process improvement through systemic problem solving, statistical analysis, Lean Six Sigma principles, and process optimization. This role will focus on data-driven decision-making and continuous process improvements to support the development and sustainment of the X-ray Detectors business unit.

Essential Duties:

• Use systemic problem solving methodologies in conjunction with statistical knowledge to drive continuous improvement, reduce variability, and improve overall yield.
• Conduct root cause analysis (RCA) and Failure Mode and Effects Analysis (FMEA) to resolve production issues.
• Work closely with the Quality and management team to implement corrective and preventive actions (CAPA) based on data-driven insights and feedback from customers.
• Support Kaizen events, Value Stream Mapping (VSM), and standard work (SW) initiatives to drive waste reduction and efficiency.
• Oversee the performance of processes and tests, then document the results of the process or test.
• Develop, edit, and maintain standard work combination sheets (SW), process flow charts, and value stream maps (VSM).
• Support the incoming quality assurance (IQA) team with resolving non-conforming report (NCR) action items and countermeasures.
• Become a proficient subject matter expert (SME) on the products and processes in the assigned area.
• Become proficient in XRF technologies.

Key Competencies:

To perform the job successfully, an individual should demonstrate the following competencies to perform the essential functions of this position.

• Adaptability: Understands changes in work group tasks, situations, and the department as well as the logic or basis for change; actively seeks information about changes affecting their job. Considers changes, production issues, and new situations as opportunities for learning or growth.
• Engineering Processes: Working knowledge of responsibilities and tasks performed by various engineering departments/disciplines (e.g., design, test, software, technology). Working knowledge of the interaction between departments/ disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., operations, logistics, business).
• Motivation: Self-starter able to function with minimal supervision. Actively coordinates with other team members to proactively identify and resolve manufacturing quality issues.
• Communication: Strong English communication skills, both written and verbal.
• Statistical Background: Experience with various statistical tools and software.

Education and Experience:

• B.S. or M.S. in engineering, or science related discipline (accredited university preferred).
• 5+ years of experience in a manufacturing environment.
• Proficiency in statistical software (Minitab, JMP, R, or equivalent) for data analysis (required).
• Lean Six Sigma Green Belt certification and/or lean manufacturing training.
• DOE matrix creation and interpretation.
• Proficient in MS Office. Specifically: Excel, Word, Visio, and Project.

Physical Demands: Must be able to ...

• sit for 2/3 of the time
• walk/transport for 1/3 of the time
• talk/hear 2/3 of the time
• reach with hands and arms 1/3 of the time
• use hands to grasp, fingers to feel 1/3 of the time
• lift up to 10 pounds and more than 25 pounds 1/3 of the time
• clearly see at 20 inches or less
• distinguish colors