Advanced Manufacturing Engineer - Medical Device (Bedford, MA)

Philips•Bedford, MA

2d•$107,000 - $170,000•Onsite

About The Position

Support production operations by driving process improvements, equipment validation, troubleshooting, and continuous improvement initiatives that enhance quality, efficiency, and manufacturing performance.

Requirements

5+ years of experience supporting manufacturing operations, process validation, production engineering, manufacturing engineering, or related engineering functions in a manufacturing environment.
Experience supporting production teams and executing process improvements is required.
Root Cause Analysis, process troubleshooting, continuous improvement, manufacturing process development, equipment qualification, and process validation skills.
Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Chemical Engineering, Biomedical Engineering, or a related engineering discipline or equivalent experience.
Analytical problem solver with strong communication and collaboration skills who enjoys working cross-functionally to improve manufacturing processes.
Comfortable supporting a fast-paced production environment, managing multiple priorities, and driving continuous improvement initiatives through data-driven decision-making.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Nice To Haves

Experience in regulated industries such as medical devices, pharmaceuticals, biotechnology, or other highly controlled manufacturing environments is preferred.
Experience with Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) activities is highly preferred.
Knowledge of Lean Manufacturing, Six Sigma methodologies, statistical analysis, and manufacturing data analytics is beneficial.
Coding experience, artificial intelligence (AI) tools, Python, SQL, Power BI, automation technologies, or other digital manufacturing tools.

Responsibilities

Support daily manufacturing operations by troubleshooting production processes and equipment issues, identifying root causes, and implementing sustainable corrective actions to minimize downtime and improve productivity.
Lead and support process validation activities, including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ), ensuring equipment and manufacturing processes meet quality and regulatory requirements.
Partner closely with production, quality, maintenance, and engineering teams to improve yields, cycle times, product quality, and overall manufacturing performance through data-driven process improvements.
Develop, maintain, and improve manufacturing documentation, work instructions, validation protocols, and technical procedures while ensuring compliance with applicable quality and safety standards.
Drive continuous improvement initiatives by analyzing manufacturing data, identifying opportunities for optimization, and implementing solutions that improve efficiency, reliability, and operational excellence.