Senior Engineer, Manufacturing Equipment Engineering

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Engineer, Manufacturing Equipment EngineeringFull-timeJob Type (exemption status): Non-Exempt position - Please see related compensation & benefits details belowBusiness Function: Manufacturing EngineeringWork Location: BangPa-In Building 1--LOC_WDT_TH1411Location (Secondary): BangPa-In Building 2--LOC_WDT_TH1412Company DescriptionWD 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 DescriptionESSENTIAL 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 stabilityTechnical 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 lineContinuous 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.QualificationsREQUIRED: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...