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Technology Jobs in Bang Pa-in Subdistrict Municipality, Thailand (Now Hiring) — 8 open

WD logoWD

Senior Engineer, Manufacturing Equipment Engineering

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Root Cause Analysis, Project Management, PLC Logic, Python, C++

WD logoWD

Senior Engineer, Quality Assurance Engineering

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Senior$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Quality Assurance, Slider Fabrication, 8D, FMEA, SPC

WD logoWD

Software & Hardwar Development Engineer (Manufacturing Automation)

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Project Management, Problem-solving, Cross-functional Collaboration, Communication, Interpersonal Skills

WD logoWD

Senior Automation Engineer

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Tool Design, PLC Programming, Artificial Intelligence, Data Analytics, Digital Twin

WD logoWD

Staff Engineer, Development Engineering

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Senior$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Characterization, DOE Planning, Data Analysis, Technical Reporting, Cross-functional Collaboration

WD logoWD

Lifetime & Reliability Test and Characterization Engineer

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Tribology Testing, Physical Characterization, Statistical Data Analysis, Tester Operation, Project Management

WD logoWD

Senior Automation Engineer

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Tooling Automation, PLC Programming, Digital Twin, Data Analytics, AI

WD logoWD

Senior Automation Engineer

Bang Pa-in Subdistrict Municipality, Thailand · On-site

Mid level$901M raised

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…

Skills: Tool Design, Automation Systems, PLC Programming, AI, Data Analytics

WD logo

Senior Engineer, Manufacturing Equipment Engineering

WD

Bang Pa-in Subdistrict Municipality, Thailand • On-site

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  • Full-time
  • bachelor degree, postgraduate degree
  • Posted 2d ago
  • ~40 hrs/week

Responsibilities

Serve as the technical expert for HGA manufacturing equipment to ensure maximum uptime, stability, and throughput. Lead hardware enhancements, preventative maintenance programs, and root cause analysis to optimize production yield and quality.

Requirements

Requires a Bachelor's degree in Mechatronics, Electrical, Mechanical, or Computer Engineering with 2+ years of experience in manufacturing process or automation. Proficiency in PLC logic, data-driven programming languages, and statistical process control is essential.

Full job description

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • System Ownership: Serve as the technical expert for HGA (Head Gimbal Assembly) manufacturing equipment and processes, ensuring maximum machine uptime, stability, and optimal throughput to meet production targets.
  • Performance Optimization: Design, develop, and implement hardware enhancements and process control strategies that align with manufacturing KPIs, focusing on precision, repeatability, and yield improvement.
  • Sustainment & Maintenance: Lead the development of robust Preventative Maintenance (PM) programs and Predictive Maintenance models to forecast component failure and minimize unscheduled downtime.
  • Hardware-Software Integration: Collaborate with automation and software teams to refine machine interfaces (HMI), sensor integration, and real-time monitoring tools tailored to process stability
  • Technical Troubleshooting: Lead deep-dive root cause analysis for equipment malfunctions and process excursions using structured methodologies (e.g., 8D, DMAIC, or Fishbone) to implement permanent corrective actions.
  • Process Engineering: Analyze physical defect data and failure modes to identify the relationship between equipment parameters (e.g., pressure, temperature, force) and product quality, mitigating recurring process issues.
  • Project Leadership: Lead cross-functional equipment upgrade projects from conception through installation and qualification (IQ/OQ/PQ), ensuring seamless integration into the production line
  • Continuous Improvement: Develop and execute data-driven process improvements to reduce scrap, optimize cycle times, and lower the total cost of ownership (TCO) for manufacturing assets.

Qualifications

REQUIRED:

  • Education: Bachelor’s degree or higher in Mechatronics, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
  • Experience: 2+ years of experience in manufacturing process engineering, equipment maintenance, or automation systems, with a proven track record of using data to drive hardware improvements.
  • Technical Proficiency: * Strong knowledge of Control Systems and PLC logic (e.g., Beckhoff, Siemens, or Allen Bradley).
    - Proficiency in programming languages for data-driven engineering (Python, C++, or MATLAB/Simulink).
    - Experience with Statistical Process Control (SPC) and failure analysis methodologies (DOE, FMEA, or Six Sigma).
    -Hands-on experience with Industrial IoT (IIoT), sensor integration, or machine-to-cloud data pipelines.
  • Data Literacy: Ability to manage and query databases (SQL/NoSQL) and utilize data visualization tools (Spotfire, Tableau, or PowerBI) to monitor equipment health.

PREFERRED:

  • Industry Expertise: Previous experience in high-precision electronics manufacturing, specifically the HDD/HGA industry.
  • Advanced Automation: Familiarity with Robotics (ROS 2), Computer Vision for defect detection, or AI-driven predictive maintenance.
  • Mindset: A proactive approach to Continuous Improvement (Kaizen) and a strong desire for self-driven learning in emerging smart-factory technologies.

SKILLS:

  • Root Cause Analysis: Expertise in structured problem-solving (8D, 5-Whys) for complex electromechanical issues.
  • Project Management: Ability to lead equipment lifecycle projects from procurement through to mass production.
  • Interpersonal: Strong communication skills for cross-functional collaboration between production, quality, and software teams.
  • Technical Documentation: Skilled in creating clear SOPs (Standard Operating Procedures) and technical maintenance manuals.

Additional Information

#LI-SW1

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email .

  • Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below
  • Business Function: Manufacturing Engineering
  • Work Location: BangPa-In Building 1--LOCWDTTH1411
  • Location (Secondary): BangPa-In Building 2--LOCWDTTH1412
  • Related keywords

    HGAPLCBeckhoffSiemensAllen BradleyPythonC++MATLABSimulinkSPCDOEFMEASix SigmaIIoTSQLNoSQL

    About WD

    LinkedInVisit site
    Industry
    Computer Hardware Manufacturing
    Company size
    10,001+ employees
    Headquarters
    San Jose, CA
    LinkedIn followers
    850,665
    Total funding
    $901M

    For more than 55 years, WD has built the storage infrastructure that powers the world’s data. Now, as WD, we’re driving certainty for the AI-driven data economy—delivering the scale, reliability, and economics required to turn data into intelligence.

    Offices: 5601 Great Oaks Parkway, San Jose, CA 95138, US

    Big DataCloud StorageData Center StorageHDDHelium HDDBackup RecoveryData FederationVirtualizationPersonal StorageCloud Computing
    View all jobs at WD

    Frequently asked questions

    How many Technology jobs are open in Bang Pa-in Subdistrict Municipality, Thailand right now?

    There are currently 8 open technology positions in Bang Pa-in Subdistrict Municipality, Thailand listed on Clera. New openings are added daily as companies post roles.

    How do I apply for Technology jobs in Bang Pa-in Subdistrict Municipality, Thailand?

    Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

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