Senior Engineer, Manufacturing Equipment Engineering

Responsibilities

• Serve as the technical expert for HGA manufacturing equipment, ensuring maximum machine uptime, stability, and optimal throughput.
• Design and implement hardware enhancements and process control strategies to improve precision, repeatability, and yield.
• Lead the development of Preventative Maintenance (PM) programs and Predictive Maintenance models to minimize unscheduled downtime.
• Collaborate with automation and software teams to refine machine interfaces (HMI), sensor integration, and real-time monitoring tools.
• Perform deep-dive root cause analysis for equipment malfunctions using structured methodologies like 8D or DMAIC.
• Lead cross-functional equipment upgrade projects from conception through installation and qualification (IQ/OQ/PQ).
• Execute data-driven process improvements to reduce scrap and optimize cycle times.

Requirements

• Bachelor’s degree in Mechatronics, Computer, Electrical, or Mechanical Engineering.
• 2+ years of experience in manufacturing process engineering, equipment maintenance, or automation systems.
• Strong knowledge of Control Systems and PLC logic (e.g., Beckhoff, Siemens, or Allen Bradley).
• Proficiency in programming languages such as Python, C++, or MATLAB/Simulink.
• Experience with Statistical Process Control (SPC) and failure analysis methodologies (DOE, FMEA, or Six Sigma).
• Ability to manage and query SQL/NoSQL databases and utilize data visualization tools like Spotfire, Tableau, or PowerBI.

Preferred Qualifications

• Previous experience in high-precision electronics manufacturing, specifically within the HDD/HGA industry.
• Familiarity with Robotics (ROS 2), Computer Vision for defect detection, or AI-driven predictive maintenance.
• A proactive mindset focused on Continuous Improvement (Kaizen) and smart-factory technologies.

About the Company

Western Digital is building the infrastructure behind the AI-driven data economy. 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.