Associate Industrial Engineer

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.

Associate Industrial Engineer (P1)

Job Description Summary

Analog Devices is seeking an Associate Industrial Engineer to join the Central Industrial Engineering team. This early-career role will support factory performance improvement initiatives across multiple wafer fabrication sites through capacity modeling, data analytics, reporting automation, cycle time reduction, and scheduling optimization. Working alongside experienced Industrial Engineers at local facilities, this position will contribute to the development of cross-site analytical tools and decision-support systems that maximize factory output and enable future expansion planning.

Responsibilities

• Support development and maintenance of cross-site capacity models, factory loadings, and utilization analyses.
• Assist with cycle time improvement initiatives through bottleneck analysis, WIP management, and line balancing activities.
• Analyze factory performance data and identify opportunities to increase throughput, productivity, and equipment utilization.
• Develop and automate reports, dashboards, and analytical tools using SQL, Python, Power BI, and other business intelligence tools.
• Support validation of manufacturing scheduling data, forecasting models, and factory planning assumptions.
• Participate in scenario analysis and what-if modeling to evaluate capacity, output, and resource requirements.
• Collaborate with Manufacturing, Process Engineering, Supply Chain, Operations, IT, and Equipment Engineering to support improvement projects.
• Document methodologies, analytical models, and standard work processes.
• Present findings and recommendations to technical and operations teams.
• Build knowledge of semiconductor manufacturing systems, Industrial Engineering methodologies, and factory scheduling concepts.
  
  

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

• Internship, co-op, or academic project experience in manufacturing, operations research, data analytics, or process optimization.
• Familiarity with SQL, Python, Power BI, Tableau, or similar analytical tools.
• Coursework in statistics, simulation, optimization, data science, or manufacturing systems.
• Exposure to semiconductor manufacturing or other high-volume manufacturing environments.
  
  

• 0–2 years of Industrial Engineering or analytical experience.
• Demonstrated ability to work with large datasets and perform quantitative analysis.
• Strong problem-solving, communication, and collaboration skills.
• Ability to work effectively within geographically distributed teams.