Associate Industrial Engineer Job at Analog Devices (Gandhinagar) | ₹8L-12L

About Analog Devices

Analog Devices (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. With a history of over 55 years, ADI invents new breakthrough technologies that transform lives. The company combines analog, digital, AI, and software technologies into solutions that address climate change, connect people and the world, and drive advancements in automation, robotics, mobility, healthcare, energy, and data centers.

Job Description Summary

ADI is seeking an Associate Industrial Engineer to join the Central Industrial Engineering team. This early-career role supports 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, this position contributes 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 teams on 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.

Minimum Qualifications

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

Preferred Qualifications

• 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.

Work Experience

• 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.

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 race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender identity or expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, political affiliation, or any other legally protected group.