Senior Engineer (Industrial Engineering)

Seagate Technology; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

A leading hard disk drive manufacturer in Singapore is seeking an experienced professional for an industrial engineering role. You will optimize factory capacity and layout while utilizing data analytics and simulation tools. The ideal candidate should possess strong communication and leadership skills, with a Bachelor's degree in Industrial Engineering and a minimum of 5 years of relevant experience. Proficiency in tools like Python and data management is crucial for enhancing operational efficiency.

Qualifications

• Minimum 5 years in industrial engineering or manufacturing planning.
• Proficiency in data analysis and simulation using Python, FlexSim, and Arena.
• Strong knowledge of hard disk drive (HDD) manufacturing processes.

Responsibilities

• Apply data analytics to optimize capacity and layout.
• Design optimized production layouts to improve process flow.
• Lead factory capacity planning to meet customer volume demand.
• Build automated workflow systems for Factory 4.0 initiatives.
• Collaborate on improvements for production processes.

Skills

Data analysis

Communication

Teamwork

Leadership

Adaptability

Python

Tableau

Lean methodologies

Education

Bachelor’s degree in Industrial Engineering

Tools

FlexSim

Arena

PowerBI

KNIME

Job description

About our group:

The Drive & HSA Industrial Engineering (IE) Department is a key function within Seagate’s Worldwide Operations Planning organization, responsible for enabling efficient, cost‑effective, and scalable HDD manufacturing by optimizing critical factory resources such as space, equipment, manpower, material, machine utilization, and HPU (Hour Per Unit) requirements. The team partners closely with cross‑functional factory groups to ensure that current and future customer demand can be met through comprehensive capacity planning, long‑term volume forecasting, equipment and layout optimization, budget and technology roadmap alignment, and continuous operational improvement using Lean and IE methodologies to enhance OEE, yield, and cycle time. Additionally, the department drives digital transformation through Factory 4.0 initiatives, including automation, simulation modeling, and capacity visualization dashboards, serving as the central integrator that transforms complex manufacturing data into actionable strategies that keep Seagate’s factories agile, productive, and operationally excellent.

About the role - you will:

The incumbent will play a significant role in shaping Seagate’s factory capacity, layout efficiency, and digital transformation efforts. Your responsibilities include:

• Apply data analytics platforms and simulation tools (Python, FlexSim, Arena) to analyze data extracted from manufacturing systems.
• Develop data‑driven models to optimize capacity, layout, and resource allocation.
• Design optimized production layouts that improve process flow, minimize movement, and support future product and technology roadmaps.
• Calculate and standardize HPU (Hour Per Unit) requirements across product mixes and process variations.
• Assess the impact of new equipment and emerging technologies on existing production lines and long‑term factory plans.
• Provide standardized DOS, MCT, and process‑aligned layout requirements.
• Apply Lean and Industrial Engineering methodologies to improve Man, Machine, Material, and Space utilization.
• Drive improvements in factory yield, OEE (Overall Equipment Effectiveness), and cycle time.
• Build and design automated workflow systems that support Factory 4.0 initiatives.
• Lead development of capacity dashboards to enhance visibility for key stakeholders.
• Lead overall factory capacity planning to meet customer volume demand.
• Collaborate with functional departments to expand capacity through process and equipment improvement.
• Support the IE Manager with budget planning and long‑term factory strategies.

About you:

• Bachelor’s degree in Industrial Engineering or relevant disciplines.
• Strong communication, teamwork, interpersonal, presentation, and leadership skills.
• Ownership, adaptability, and the ability to manage multiple priorities in a fast‑moving environment.
• Proficiency in data management, data processing, automation tools, Tableau, PowerBI, KNIME, Python, and optimization programming.
• A positive, self‑motivated, and flexible working approach.
• Willing to travel to Thailand for one (1) month for on-job-training.

Your experience includes:

• Minimum 5 years in industrial engineering or manufacturing planning.
• Proficiency in data analysis and simulation using Python, FlexSim, and Arena.
• Strong knowledge of hard disk drive (HDD) manufacturing processes.
• Ability to design optimized production layouts that improve process flow, minimize movement, and support future product and technology roadmaps.

Location:

Location: Woodlands, Singapore, W1
Travel: None