One Thing

Semiconductor Manufacturing

Intern-TestEquipmentTechnician

S$24–36k ~AI est. Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Intern- Test Equipment Technician at One Thing. Skills: Equipment operation, Data analysis, Problem-solving. Analyze equipment downtime data. Identify patterns and key contributors”

What You'll Achieve.

Improve equipment availability; Improve operational efficiency; Enhance understanding of downtime drivers; Optimize performance

Industry & Context.

Semiconductor Manufacturing
Problems you'll solve

Analytical; Problem-solving; Root cause analysis

What They're Looking For.

Must Have

Basic understanding of mechanical systems, Basic understanding of electrical systems, Analytical skills, Problem-solving skills, Interpret data and identify trends, Effective communication skills, Effective presentation skills, Work independently, Work collaboratively

Nice to Have

Mechanical Engineering background, Electrical Engineering background, Industrial Engineering background, Related engineering disciplines background

What You'll Do.

Analyze equipment downtime data

Identify patterns and key contributors

Develop strategies to improve availability

Develop strategies to improve efficiency

Apply structured problem-solving methodologies

Study burn-in equipment processes

Study performance metrics

Study maintenance workflows

Perform data analysis on downtime records

Identify root causes of downtime

Evaluate improvement opportunities

How You'll Work.

Team & Collaboration

Work collaboratively

Communication Scope

Effective communication; Effective presentation

Full Job Description

**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. ### **Department** Test Equipment Engineering (Burn-In Systems) ### **Project Title** Burn-In Equipment Operation Excellence ### **Project Description** This project focuses on improving burn-in equipment availability through data-driven analysis of scheduled and unscheduled downtime. The project involves evaluating equipment performance trends, identifying key contributors to downtime, and developing improvement strategies to enhance operational efficiency. The intern will gain exposure to equipment engineering practices in a semiconductor manufacturing environment and apply analytical and problem-solving approaches to a real-world engineering challenge. ### **Objective of the Project** * Analyze equipment downtime data to identify patterns and key contributors * Develop and propose strategies to improve equipment availability and efficiency * Apply structured problem-solving methodologies in an engineering context ### ### **Project Scope** * Study burn-in equipment processes, performance metrics, and maintenance workflows * Perform data analysis on historical downtime records * Identify potential root causes of scheduled and unscheduled downtime * Evaluate improvement opportunities through engineering analysis and benchmarking ### **Learning Opportunities** * Exposure to semiconductor manufacturing equipment engineering practices * Experience in data analysis applied to equipment performance * Application of structured problem-solving methodologies * Understanding

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