Industrial Engineering Supervisor

Analog Devices, Inc.; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Analog Devices, Inc. is seeking an experienced Industrial Engineer to join the Central Industrial Engineering team.

This role will lead capacity modeling, factory scheduling, and productivity improvement across ADI's front-end manufacturing network, developing cross-site analytical models and data-driven decision systems. You will partner with site leadership, operations, supply chain, and IT to drive strategic improvement, mentor junior engineers, and present scenarios and business cases to

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.
• Master's Degree in Industrial Engineering, Operations Research, Data Science, Analytics, or related field.

Responsibilities

• Lead cross-site capacity models, utilization analyses, loading scenarios, and expansion planning studies.
• Drive cycle time reduction and WIP optimization using Factory Physics methodologies, bottleneck analysis, and constraint management.
• 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.

Skills

SQL

Python

Power BI

Statistical analysis

Education

Bachelor's Degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related engineering discipline

Job description

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.

Job Description Summary

Analog Devices is seeking an experienced Industrial Engineer to join the Central Industrial Engineering team. This role will lead high-impact initiatives focused on capacity modeling, factory scheduling, cycle time reduction, operations research, and productivity improvement across ADI's front-end manufacturing network. The successful candidate will drive development of cross-site analytical models, optimization tools, and data-driven decision systems that maximize factory output, support expansion planning, and establish standardized Industrial Engineering practices across multiple manufacturing sites.

Responsibilities

• Lead development of cross-site capacity models, utilization analyses, loading scenarios, and expansion planning studies.
• Drive cycle time reduction and WIP optimization initiatives through Factory Physics methodologies, bottleneck analysis, and constraint management.
• 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

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. Come join 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.