Medical Wire Process Engineer: Improve Yield & Quality

Adient; Tucson (AZ); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health, Dental, and Vision

401K with company match

Paid time off

11 paid holidays

Job summary

Alleima, BU Medical, is seeking a Process Engineer in Tucson, AZ to support, improve, and implement manufacturing processes for fine wire production. You will work with Production, Maintenance, Quality, and Engineering to drive process stability and product quality.

The ideal candidate has 3–5 years of experience in process/manufacturing engineering, a Bachelor’s degree in Engineering, and a hands-on approach to data analysis, RCA, and continuous improvement.

Qualifications

• Hands-on process engineering in a manufacturing setting.
• Experience improving manufacturing processes and implementing CPAs.
• Strong data analysis and problem-solving skills.

Responsibilities

• Develop, implement, and optimize manufacturing processes for fine wire production.
• Monitor process capability, equipment performance, and product quality using data analysis and control methods.
• Lead root cause investigations and corrective actions for deviations and customer concerns.
• Drive continuous improvement to reduce scrap, increase yield, and improve throughput.
• Collaborate with Production, Quality, Maintenance, and R&D to introduce new products and manufacturing technologies.

Skills

Process engineering

Manufacturing engineering

Data analysis

Cross-functional collaboration

3-5 years experience

Education

Bachelor's degree in Engineering

Tools

ERP

MES

Job description

Alleima, BU Medical, is seeking a Process Engineer in Tucson, AZ to support, improve, and implement manufacturing processes for fine wire production. You will work with Production, Maintenance, Quality, and Engineering to drive process stability and product quality.

The ideal candidate has 3–5 years of experience in process/manufacturing engineering, a Bachelor’s degree in Engineering, and a hands-on approach to data analysis, RCA, and continuous improvement.