More jobs:
Manufacturing Engineer
Job in
Blaine, Anoka County, Minnesota, USA
Listed on 2026-06-18
Listing for:
Intellectt Inc
Full Time
position Listed on 2026-06-18
Job specializations:
-
Engineering
Manufacturing Engineer, Quality Engineering, Process Engineer, Lean Manufacturing / Six Sigma -
Manufacturing / Production
Manufacturing Engineer, Quality Engineering, Lean Manufacturing / Six Sigma
Job Description & How to Apply Below
:
We are seeking a Manufacturing Engineer with 5+ years of experience in the Medical Device industry to support manufacturing operations, process improvements, and new product introductions in a regulated environment. The ideal candidate will have experience with process validation, continuous improvement, and cross-functional collaboration to ensure product quality and operational efficiency
- s:
Support manufacturing processes and drive continuous improvement initiative - s.Develop and maintain manufacturing procedures, work instructions, and process documentatio
- n.Lead process validation activities including IQ/OQ/P
- Q.Investigate manufacturing issues, perform root cause analysis, and implement corrective action
- s.Support new product introduction (NPI) and technology transfer activitie
- s.Collaborate with Quality, R&D, Regulatory, and Operations teams to ensure compliance with FDA and ISO requirement
- s.Analyze production data and identify opportunities for process optimization and cost reductio
- n.Participate in CAPA, NCR, and change control activitie
- ns:
Bachelor's degree in Engineering or related technical discipli - ne.5+ years of Manufacturing Engineering experience within the Medical Device indust
- ry.
Experience with process validation (IQ/OQ/PQ), CAPA, and root cause analys - is.
Knowledge of FDA regulations, GMP, and ISO 13485 require men - ts.
Strong problem-solving, communication, and project management skil - ls.
Experience supporting manufacturing operations in a regulated environme
Preferred Ski
- lls:
Lean Manufacturing and Six Sigma methodolog - ies.
Experience with automation, equipment qualification, and statistical analy - sis.
Knowledge of risk management tools such as F
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