Senior Engineer, Manufacturing Equipment Engineering

Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES: Software, Automation & Equipment Engineering Design, develop, test, integrate, deploy, and support PLC/HMI and equipment software for manufacturing equipment and automation projects. Lead software projects from requirements definition through development, validation, production deployment, and technical handover, ensuring delivery within scope, schedule, quality, and performance requirements. Develop reliable, maintainable, scalable, and standardized software solutions using software engineering best practices, reusable components, technical documentation, and revision control. Collaborate with cross-functional teams and equipment suppliers to define requirements, integrate systems, assess technical risks, and implement effective solutions. Review software designs and control logic, provide technical guidance and knowledge transfer, and support complex software and control-system issues when required. Smart Manufacturing, Innovation & Continuous Improvement Develop and implement innovative solutions using automation, data analytics, IoT, AI/ML, Computer Vision and digital technologies , including proof-of-concept solutions, equipment data collection, monitoring, dashboards, predictive quality, and smart maintenance applications. Identify opportunities to improve quality, yield, productivity, cycle time, OEE, equipment availability, downtime, labor efficiency, and operational efficiency . Validate results, apply structured problem-solving methods, standardize successful solutions for replication, and scale them across applicable equipment and production lines. REQUIRED: Bachelor's or Master's Degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, Mechatronics Engineering, Robotics/Automation Engineering , or a related technical field. Experience at least 3 years in Manufacturing process Basic understanding of manufacturing processes and equipment Strong hands-on experience with PLC/HMI programming and manufacturing automation systems. Familiarity with automation concepts and control systems Knowledge of Six Sigma, Lean Manufacturing, or Industry 4.0 concepts Knowledge of HDD Process & Technology, HDD Quality Management, ESD & Contamination SKILLS: Proficiency in PLC/HMI programming. Knowledge of Programming C#, C++, Python, AI, Computer Vision, Image Processing, Machine Learning technologies and web applications. Data analysis skills (Excel, basic statistics) Demonstrate a good level of English proficiency (Speaking/Written) #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 . 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.