Develop and maintain advanced analytical tools supporting factory scheduling, output optimization, and operational decision making.
Perform operations research and statistical analyses to identify key output levers and productivity improvement opportunities.
Design and implement predictive models, optimization algorithms, and AI-enabled analytical solutions for manufacturing applications.
Lead validation and continuous improvement of scheduling logic, factory planning assumptions, and manufacturing data structures.
Establish standard methodologies, governance processes, and best practices across multiple manufacturing sites.
Mentor junior Industrial Engineers and provide technical leadership on analytical projects.
Partner with site leadership, operations teams, supply chain, manufacturing engineering, and IT to drive strategic improvement initiatives.
Present recommendations, scenario analyses, and business cases to management and senior leadership.
Support development of long-range capacity plans and fab expansion scenarios.
Minimum Qualifications
Bachelor's Degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related engineering discipline.
Proficiency in SQL, Python, Power BI, and statistical analysis tools.
Preferred Qualifications
Master's Degree in Industrial Engineering, Operations Research, Data Science, Analytics, or related field.
Semiconductor wafer fabrication experience.
Experience with Factory Physics, cycle time engineering, capacity planning, production scheduling, or manufacturing optimization.
Experience with simulation, optimization modeling, machine learning, or operations research techniques.
Work Experience
7+ years of Industrial Engineering experience in semiconductor manufacturing or other complex manufacturing environments.
Experience building capacity models, productivity analyses, factory scheduling models, or optimization tools.
Demonstrated success leading cross-functional improvement initiatives.
Strong analytical, communication, and project leadership skills.
Experience working with globally distributed teams is preferred.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
