Western Digital – Test Engineering 

China, Guangdong Province, Shenzhen 

57561246

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.”

• Who You’ll Work With

  Join our Test Process Optimization and Control (POC) team, where we leverage cutting-edge methodologies and technologies to solve high-value problems in advanced magnetic recording media manufacturing. This is your opportunity to kickstart a career that shapes the future of Smart Manufacturing.

  Key Responsibilities

• Work with team to define the process gating for efficiency enhancement and work for the solutions.
• Collaborate with internal process teams to analyze requirements and define algorithm specifications.
• Develop and test machine learning algorithms and software solutions for media test.
• Troubleshoot and resolve Test equipment & software technical issues.
• Support team members in Test team and for cross-function projects, and contribute to knowledge sharing within the team.

Education:

• Master's or Bachelor's in Computer Engineering/Computer Science/Electrical Engineering.

Preferred:

• Basic understanding of image processing techniques.
• Familiarity with machine learning concepts and frameworks (e.g., OpenCV, CNN).
• Proficiency in Python and experience with database applications.
• Knowledge of data science techniques, including data analysis, statistical modeling, and data visualization. Proficient in data statistical and visualization tools like JMP and Spotfire.
• Experience with Linux environments and shell scripting.
• Proficiency in C, C++, and Java, with a strong understanding of object-oriented programming (OOP) principles.
• Ability to write clean, maintainable code following software design best practices.
• Strong communication skills in English (both written and verbal).
• Publication of academic papers or participation in major international data science or computer vision industry conferences is a strong advantage.
• Contributions to open-source projects, research papers, or university-based ML work.