Automation Engineer, Manufacturing

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.

Responsibilities

Responsible for the integration and development of automation equipment/systems with AI technologies, leveraging machine learning to build intelligent manufacturing systems enabling device collaboration and smart scheduling.; Participate in the implementation of AI models (e.g., deep learning, reinforcement learning) in automation scenarios, including requirements analysis, model selection, algorithm deployment, and debugging. C -language programming + PLC/software integration experience (e.g., Mitsubishi/Omron),; Collaborate with mechanical and software teams to drive the testing, launch, and maintenance of AI + automation solutions, and resolve on-site technical issues.; Keep up with the latest technologies in automation and AI (e.g., industrial large models, edge AI) and explore their potential applications in business scenarios.; Contribute to the preparation of technical documentation and project reports to support knowledge sharing and solution deployment.

Requirements

Master’s degree or above in Automation and Electronic Information Engineering, or related fields.; Familiarity with AI technologies and hands-on experience in machine learning/deep learning frameworks, capable of independently completing model training and deployment.; Proficiency in Python/C++ programming, with project experience in machine vision (e.g., OpenCV applications) preferred.; Strong logical thinking, analytical, and problem-solving skills.; Excellent English writing, speaking, and presentation skills.

Benefits

Opportunity to work on cutting-edge AI and automation integration projects in intelligent manufacturing.; Cross-disciplinary collaboration to enhance holistic engineering capabilities.; Structured training and mentorship to accelerate career growth.; Career development opportunities on a global platform to become a future expert in AI and smart manufacturing.