Manufacturing Engineer

At Norwood Medical, the work we do matters. As a leading manufacturer of precision medical devices and components, we partner with some of the world's most innovative medical technology companies to produce components used in robotic-assisted surgery, minimally invasive procedures, and orthopedic applications.

What You'll Do

• Own production processes in the assigned production building(s).
• Troubleshoot equipment downtime, resolve issues, and/or identify support required.
• Leverage quality data to create and execute action plans to maximize yield and minimize scrap.
• Monitor tool data to identify trends; create and execute action plans to maximize yield and minimize scrap.
• Identify and support process improvements projects to improve quality, yield, and costs.
• Work with new product development teams to transfer equipment and processes into production.
• Train in new production processes and documentation.
• Develop training and troubleshooting guides.
• Document and execute engineering change processes via related quality procedures.
• Support operational communication between shifts.
• Available as necessary by phone and/or person to support off-shift production troubleshooting.
• Other duties as assigned by manager.

• Bachelor's degree in an engineering discipline with 1 to 3 years of experience in a manufacturing environment. Years of experience in a similar manufacturing role will be considered as an equivalent.
• CNC & Special Equipment machine controller navigation and knowledge. Formal and/or on the job training will be provided for each specific machine controller.
• Statistical analysis and data analysis for part inspection data, production yields, scrap data, tool life data, etc. Formal and/or on the job training may be provided for statistical software.
• Experience with creating/writing technical documents.
• Problem-solving ability with strong critical thinking, and high attention to detail.
• Strong communication skills with an ability to collaborate and coordinate effectively across multiple functions.