AI Engineering Intern: Predictive Maintenance & Analytics

Skyworks Solutions, Inc; Thousand Oaks (CA); On-site; USD 40,000 - 68,000; Full time

Job summary

Skyworks Solutions, Inc. in Newbury Park, CA invites you to join the AI Engineering Intern program for May-Aug 2027.

You will work with manufacturing and industrial engineers to apply AI, ML, and data analytics to improve equipment uptime, yield, and efficiency in a high-volume semiconductor fab. You'll analyze large datasets from tools, develop ML models, build predictive maintenance algorithms, and present dashboards to engineering leadership.

Qualifications

• Pursuing BS, MS or PhD in a technical field.
• Experience with Python, R or MATLAB.
• Knowledge of ML fundamentals and data analysis.
• SQL or database querying knowledge.

Responsibilities

• Analyze large volumes of equipment and manufacturing data from semiconductor production tools.
• Develop machine learning models to identify patterns indicating impending equipment failures or process degradation.
• Create predictive maintenance algorithms using maintenance records, fault logs, alarms, sensor data, and process metrics.
• Evaluate equipment health indicators and recommend preventative maintenance actions.
• Develop dashboards and visualizations that communicate equipment performance and risk trends.
• Collaborate with equipment engineers to validate model predictions against actual tool performance.
• Investigate root causes of recurring equipment failures and identify opportunities for proactive intervention.
• Assist in building automated monitoring systems for critical manufacturing assets.
• Conduct statistical analysis of maintenance effectiveness and equipment reliability metrics.
• Present findings and recommendations to engineering and operations leadership.

Skills

Python

R

MATLAB

Machine Learning

Data analysis

Data visualization

SQL

Education

BS/MS/PhD in related field

Job description

Skyworks Solutions, Inc. in Newbury Park, CA invites you to join the AI Engineering Intern program for May-Aug 2027.

You will work with manufacturing and industrial engineers to apply AI, ML, and data analytics to improve equipment uptime, yield, and efficiency in a high-volume semiconductor fab. You'll analyze large datasets from tools, develop ML models, build predictive maintenance algorithms, and present dashboards to engineering leadership.