Associate Manufacturing Engineer

Analog Devices · US, MA, Wilmington · US, OR, Beaverton · US, MA, Chelmsford, Alpha

onsitefull-time1-3 years

posted 20 Aug

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future. About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . About the Role As a Manufacturing Engineer, you will support the development, optimization, and continuous improvement of manufacturing processes that enable the production of innovative semiconductor technologies and products. Working in a cross-functional environment, you will collaborate with engineering, operations, quality, and manufacturing teams to improve process performance, product quality, yield, and operational efficiency. Key Responsibilities Support the development, implementation, and continuous improvement of manufacturing and production processes. Identify opportunities to improve process efficiency, product quality, reliability, and yield through data-driven analysis and problem solving. Collaborate with cross-functional teams including Design Engineering, Operations, Quality, Test Engineering, and Product Engineering to address manufacturing challenges and support product development activities. Analyze process performance and manufacturing data to identify trends, root causes, and improvement opportunities. Contribute to process qualification, validation, and production readiness activities for new and existing products. Develop and maintain manufacturing documentation, work instructions, process specifications, and standard operating procedures. Support risk assessment and mitigation efforts to ensure successful product and process implementation. Apply statistical methods and engineering principles to optimize processes and improve operational performance. Assist with new product introduction (NPI), process transfers, and manufacturing scale-up activities. Participate in troubleshooting efforts and drive corrective and preventive actions to resolve technical issues. Must Have Skills Knowledge of manufacturing, process engineering, production operations, or industrial systems through coursework, projects, internships, or work experience. Strong analytical and problem-solving skills with the ability to interpret technical and process-related data. Understanding of engineering fundamentals, process improvement methodologies, and manufacturing principles. Ability to read and interpret engineering drawings, specifications, and technical documentation. Effective communication and collaboration skills in a cross-functional team environment. Proficiency with Microsoft Office or similar productivity tools. Preferred Education and Experience Bachelor's degree in Mechanical Engineering, Electrical Engineering, Materials Science, Manufacturing Engineering, Industrial Engineering, Chemical Engineering, or a related technical discipline. 0-2 years of relevant experience in manufacturing engineering, process engineering, operations engineering, production engineering, or related technical disciplines. Familiarity with Statistical Process Control (SPC), Design of Experiments (DOE), Lean Manufa