Engineer, Manufacturing Engineering

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

To overasee equipment preventive maintenance as per schedule; In charge equipment form factor conversion, set-up and buyoff; Continuous improvement projects; New equipment installation or set-up propagation; Support major equipment issue troubleshooting and spare parts inventory purchasing; Trainer for new SOP either in human behavior or machine operation; Adhere to OSHA standard for safety and health; Using different sort of machine programming language, etc PLC/CTC/C++/Python for troubleshooting.

Requirements

Bachelor's degree in Engineering discipline related to Automation, Electrical Engineering, Mechanical Engineering, Mechatronics, or equivalent field; Proficiency in at least one industrial programming language (PLC, CTC, C++, or Python); Knowledge of OSHA safety standards and workplace health regulations; Good command of English; Expert in Control System; Basic understanding of Machine programming language such as PLC will be added advantage; Ability to use CAD will be added advantage; Computer Programming language such as Python/C++ will be added advantage; An overall understanding of AI infrastructure, such as LLM/Machine Learning/Agentic AI etc will be added advantage.

Nice to have

2-3 years of hands-on experience in equipment engineering, manufacturing engineering, or related field; Experience with equipment preventive maintenance planning and execution; Demonstrated experience in troubleshooting complex equipment issues; Certification in industrial automation or PLC programming; Experience leading continuous improvement initiatives or Lean/Six Sigma projects