Senior Engineer, Manufacturing Equipment Engineering

Requirements

• 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.
• #LI-SW1
• 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 compliance@wdc.com .

Benefits

Additional Information

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. 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.

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