About Our Group

Factory Sustainable Engineering (FSE) mission is to ensure the long-term sustainability of HGA factory's manufacturing systems and processes. We introduce new technologies, develop innovative solutions and improvement projects to maintain and enhance the manufacturing system, ensuring it consistently meets Seagate's product requirements. Our work encompasses equipment software development, process improvement, and technology enhancement to support and sustain HGA manufacturing operations.

About The Role - You Will

Lead and manage the Hardware (H/W) engineer team within the Factory Sustainable Engineering department. Ensure continuous improvement and undisrupted operation of critical automation mass production machine processes, factory enhancement and quality improvement activities
Lead the team and cross-functional groups such as machine design, maintenance, process, quality, safety engineer to enhance existing processes and equipment, and proactively introduce new technologies, processes, or equipment when opportunities arise
Capable to investigate and resolve complex equipment and process issues using structured problem-solving, root cause analysis, and data-driven decision-making. Apply appropriate methods and evaluation criteria to achieve effective outcomes
Managing the entire machine/process development lifecycle, including setting scopes, budgeting, scheduling, risk assessment, and tracking deliverables using formal methodologies
Provide leadership and mentorship to team members, including coaching emerging leaders. Define and execute development plans, roadmaps, and growth activities to foster a challenge-driven mindset and build a team of future-ready technology experts
Design Tools: Proficiency with relevant engineering software, such as CAD systems (e.g., SolidWorks, AutoCAD) for mechanical design and simulation tools.

About You

Bachelor's degree or higher in Mechanical, Mechatronic, Electrical/Electronic, Automation design or a related field
Strong leadership, coaching, and talent development
Excellent communication, planning, and organizational skills
Skilled in translating complex technical concepts for non-engineering stakeholders
Strong capability to manage multiple priorities and deadlines in dynamic environments
Problem-solving and critical thinking
Effective mentoring, training, and presentation across diverse audiences
Familiar with factory financials including ROI and budgeting
Fluent in both written and spoken English, with a minimum TOEIC score of 600

Your Experience Includes

Productivity improvement with a background in machine development is preferred, particularly those who have transformed processes from manual to automated systems, with experience working with Vision Systems and possessing basic knowledge of AI/ML
For a maintenance background, must have experience supervising and maintaining automated machinery equipped with Vision Systems, and have some hands-on experience in improving their own machines
5-8+ years of total engineering experience in machine design, automation, robotics, or process control systems.
2-3+ years in a technical leadership or supervisory role (e.g., Lead Engineer, Project Lead, or Supervisor) overseeing engineering staff or projects
Automation Expertise: Deep, hands-on experience with design, development, and deployment of automated equipment and manufacturing processes (e.g., PLC/PC programming, SCADA, motion control, robotics, vision system, Ai/ML knowledge).
System Integration: Proven ability to integrate various hardware components (sensors, actuators, vision systems) and software systems into a cohesive, functional automation solution
Process Development: understanding of manufacturing principles, process optimization, Lean principles, and statistical process control (SPC) for defining and developing robust automated processes
Machine Safety & Standards: Knowledge of relevant industry standards, regulations, and safety protocols for automated machinery (e.g., OSHA, ISO, or local equivalent standards)
Proven leadership of engineering teams with 5+ headcount
Strong background in automation equipment
Skills in equipment optimization, issue investigation, and debugging
Experienced in AI/ML applications [Artificial Intelligence (AI), Machine Learning (ML)], data analysis tools, and equipment process development
Familiar in experimental design, DFM (Design for Manufacturing) and CTQ (Critical to Quality)
Knowledgeable in GD&T and stack-up analysis (Geometric Dimensioning and Tolerancing)
Applied expertise in LEAN, Six Sigma, and continuous improvement methodologies

Location:

Location: Teparuk, Thailand

Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads—a crucial components for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, there is unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.

Location: Teparuk Thailand

Travel: None

Engineering Manager (Factory Sustainable Engineering)