Staff Engineer, Development Engineering

About the Company

At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike. From enabling systems to make cities safer and more connected, to powering data centers and meeting the data storage needs of the AI era, WD is fueling a brighter, smarter future.

Responsibilities

• Take the lead in defining Software Architecture and System Architecture for Automated HSA/HDD Assembly systems.
• Lead HSA/HDD Assembly Machine Control Software: design, code, and test review processes.
• Interact with HDD assembly machines including robotics, vision systems, and sensing devices.
• Define system architectures and embed AI-based solutions into automated assembly systems for enhanced precision, productivity, and problem-solving.
• Develop AI-powered algorithms for new and existing software frameworks, including autonomous decision-making and optimization capabilities for assembly machinery.
• Coach junior engineers and manage priorities for software development tasks to support manufacturing requirements.
• Generate and maintain control-level software across different generations of assembly machines and WD software frameworks.
• Generate and maintain technical documentation such as software release notices; validate and test software releases.
• Execute experiments, analyze data, and share results with cross-functional teams.
• Collaborate with Process and other teams to improve yield, process, downtime, and scrap.
• Maintain effective communications with technical staff and act as a technical resource for junior staff.
• Comply with 6S and EH&S policies to ensure good housekeeping and workforce safety.
• Other duties as may be assigned.

Qualifications

• Required: Bachelor’s or Master’s degree in Computer Engineering, Electrical, Mechatronics, Computer Science or related field.
• 5–10 years of experience related to AI, automation, robotics, I/O programming, image processing, and database communication protocols.
• Strong knowledge and hands-on experience in AI / Machine Learning / Deep Learning.
• Experience with AI frameworks (TensorFlow, PyThon) and computer vision / image processing.
• Ability to deploy and integrate AI models into automation / robotics systems.
• Solid software engineering skills with data handling, system integration, and performance optimization.
• Preferred: OOP programming, UML design; Windows, Linux, RTO; SPC-based machine controls; PLC (Beckhoff, Keyence, Mitsubishi); vision, robotics and HMI systems programming; familiarity with TensorFlow, PyTorch, OpenCV; experience integrating AI models with PLC/PC-based automation systems; understanding of data collection, model deployment and edge AI systems; experience with interfaces and controller integration (Frame Grabbers, DeviceNet, A/D, TCP/IP, serial).

Skills

• Able to track, analyze, and resolve software issues and implement corrective actions to meet customer requirements.
• Able to use OOP, PLC, and HMI system programming for product qualification, prototype, and automation systems.
• Knowledge or experience in AI / Machine Learning, especially AI-based data analysis or computer vision.
• Ability to apply AI techniques to improve automation performance, quality, or decision-making.
• Good command of English is an advantage.

Additional Information

Work Location: Prachin Buri

Job Type: Full-time, Non-Exempt. Business Function: Development Engineering.

WD thrives on the power and potential of diversity and is committed to an inclusive environment. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and hiring process. Please contact us at [email protected] to advise us of your accommodation request; include the job title and requisition number in your email.

Please note WD will never request payment as a condition for applying for a position or receiving an offer of employment.