Automation Engineer, Manufacturing

Company Description

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.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES：

1. 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.
2. 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);
3. Collaborate with mechanical and software teams to drive the testing, launch, and maintenance of AI + automation solutions, and resolve on-site technical issues.
4. 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.
5. Contribute to the preparation of technical documentation and project reports to support knowledge sharing and solution deployment.

WHY JOIN US：

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

Qualifications

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

Additional Information

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available HERE

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 jobs.accommodations@wdc.com 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.

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 jobs.accommodations@wdc.com 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 compliance@wdc.com.