Industrial Engineer (P2)

Posted 22 Days Ago
Be an Early Applicant
Gandhinagar, Gujarat, IND
In-Office
Mid level
Artificial Intelligence • Hardware • Automation • Manufacturing
The Role
Lead cross-site capacity modeling, scheduling, and productivity initiatives for front-end semiconductor manufacturing. Develop analytical and optimization tools, apply operations research and Factory Physics to reduce cycle time and optimize WIP, validate scheduling logic, mentor junior engineers, and partner with operations, supply chain, and IT to support capacity planning and fab expansion.
Summary Generated by Built In

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

  • 3–5 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

Skills Required

  • Bachelor's Degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related engineering discipline
  • Proficiency in SQL
  • Proficiency in Python
  • Proficiency in Power BI
  • Proficiency with statistical analysis tools
  • 3-5 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 and strong analytical, communication, and project leadership skills
  • 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
  • Experience working with globally distributed teams

Analog Devices Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.

  • Retirement Support The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
  • Healthcare Strength Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
  • Leave & Time Off Breadth Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.

Analog Devices Insights

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The Company
HQ: Wilmington, MA
20,292 Employees
Year Founded: 1965

What We Do

Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.

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