
Quality Engineer - Automation
- Roseau, MN
- $76,000-100,000 per year
- Permanent
- Full-time
- Manage efficient and on time installation of new automated inspection systems, including physical hardware installation, network and software setup.
- Participate in prioritization and planning of automated inspection targets, including new inspection requests stemming from PFMEA and Engineering requirements.
- Train and validate automated quality inspections; collect and edit video, tag OK and NOK conditions and update production devices.
- Analyze production limitations and standards; recommend specification revs when indicated.
- Assists in the specification of inspection methods, testing mechanisms and equipment.
- Participate or lead failure analysis, root cause and corrective action investigations.
- Develop, manage and report on internal process quality metrics; identify opportunities for continuous improvement and lead improvement initiatives.
- Communicate production issues/problems/concerns to Quality and Operations leadership.
- Participate in new product launch teams. Assist in design for manufacturing efforts.
- Conduct and/or support internal audits and product transfers as needed.
- Support the Quality Lab in completing APQP, PPAP and production measurement requests.
- Perform Six Sigma Measurement System Analysis (MSA/GR&R) and process capability studies. Perform DOE if required.
- Support all other Polaris quality initiatives and programs as required.
- 3-5 years of experience in Quality, Manufacturing, Process Engineering required.
- Previous experience implementing and maintaining automated quality solutions required.
- Ability to work in a fast-paced, manufacturing environment.
- Ability to lead technicians in testing and inspection methods for plant quality processes.
- Ability to read, interpret and improve engineering drawings.
- Strong process improvement skills, including PFMEA, control plan, root cause (8D), DOE, gage R&R, PPAP, product failure analysis and Quality Management Systems (QMS).
- Experience with and knowledge of how to properly apply GD&T.
- Experience in the implementation of Lean Manufacturing. Leading teams in Six Sigma projects; Black Belt training or certification is a strong plus.
- Leadership experience with hourly and salaried subordinates.
- Must be a self-starter and able to work independently without supervision.
- Bachelor’s Degree in Science, Engineering, Operations or related field required; advanced degree preferred.
- Strong computer programming skills preferred (Python, Linux OS); data analytic skills a plus (Alteryx, Power BI).
- Standard manufacturing/plant environment, with a strong plant-floor presence.
- Ability and willingness to travel up to 10 percent of time – travel can fluctuate according to business need.