Process Engineer

Position: Process Engineer, Req#: ROCGJP00030694

Location: New Richmond, WI

Hybrid remote candidates that have a commutable distance to New Richmond, WI (40 miles east of Minneapolis/St. Paul metro area and 65 miles west of Eau Claire, WI). Expectation: 75% onsite at CMO.

Duration: 12 Months Contract with Possibilities of extension OR conversion in FTE as well

Job Description:

Education and Industry Experience

• B.S, M.S., or advanced degree in Engineering, with preference for Mechanical Engineering, or the equivalent.
• At least 3 years of experience in the industry and/or academia (including advanced studies) after receiving their Bachelor's degree.
• In-depth experience in high-volume manufacturing processes and methodologies, with an emphasis on plastic molding and mechanical assembly is expected.
• Demonstrated success in liaising with engineering and manufacturing resources.
• Experience working with control systems to be used in production and batch release.
• Strong expertise with statistical handling and interpretation of data, technical report writing and reviewing.
• Familiarity with risk management tools; develop FMEAs of the products and the ability to assess changes, non-compliances, etc., with risk assessment methods.

TECHNICAL KNOWLEDGE

• At least 3 years experience supporting process development from feasibility to New Product Introduction
• Design Controls for regulatory compliance & filing (ISO 13485, etc): GDP/GLP/GMP, Design History Files, User Requirement Specifications (URS), Factory/Site Acceptance Testing (FAT/SAT), test protocols, technical reports, control systems to be used in production and batch release and risk management tools (methods, FMEAs, non-compliances, etc).
• Assembly equipment, Functional Testers, smart scopes, Height gauges, Vision Systems
• Interaction with Equipment/Process: Plastic Heat stake, Plastic Laser welding, Laser Etching, Zebra Printers, Leak tests (pressure decay), flow test, Bbbble test, drop test, pull test, semi-automated and automated
• Full data and statistical analysis (JMP, Minitab) and Design of Experiments, and providing detailed review of data with an emphasis on statistics.
• Strong skills in relevant modeling and design tools, design controls and/or statistical analysis. Examples may include: Monte Carlo Simulations, Tolerance Analysis, Finite Element Analysis.
• Six Sigma (Green/Black Belt): DMAIC and DFSS
• Design for Manufacturability, Molding.