Principal Quality Engineer - Smart Factory Analytics

Sanmina-SCI Systems de México; Secaucus (NJ); On-site; USD 141,000 - 188,000; Full time

Benefits offered by this job

Competitive base salary

401(k) retirement savings plan

Tuition reimbursement

Comprehensive health, dental, and vision coverage

Paid time off and holidays

Job summary

A global technology firm in Secaucus, NJ is seeking a Principal Quality Engineer to spearhead the development of quality systems that leverage advanced analytics and SPC methodologies. The ideal candidate will have 10-15 years of experience in high-volume manufacturing, with strong leadership capabilities. They will be responsible for implementing smart factory methods and ensuring compliance with industry quality standards, all while improving production reliability. The role includes collaboration across various teams and the use of data-driven tools to enhance decision making.

Qualifications

• 10-15 years of experience in high-volume, complex manufacturing.
• At least 5 years in leadership or transformation roles.
• Demonstrated expertise in statistical methods.
• Background in electronics assembly or high-reliability industries.

Responsibilities

• Lead development of data-driven quality systems.
• Define and implement systems supporting smart factory vision.
• Collaborate across teams to drive seamless production solutions.
• Ensure compliance with industry quality standards.

Skills

Statistical Process Control (SPC)

Data analysis

Problem-solving

Advanced analytics

Communication skills

Education

Advanced degree in Engineering, Computer Science, Data Science, or related field

Tools

Minitab

Python

R

SQL

SolidWorks

AutoCAD

Job description

A global technology firm in Secaucus, NJ is seeking a Principal Quality Engineer to spearhead the development of quality systems that leverage advanced analytics and SPC methodologies. The ideal candidate will have 10-15 years of experience in high-volume manufacturing, with strong leadership capabilities. They will be responsible for implementing smart factory methods and ensuring compliance with industry quality standards, all while improving production reliability. The role includes collaboration across various teams and the use of data-driven tools to enhance decision making.