AI Engineering Summer Intern (May-Aug '27)

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

Job summary

Skyworks Solutions, Inc. in Thousand Oaks, CA is seeking an AI Engineering Summer Intern for May–Aug 2027 to support analytics and ML solutions for semiconductor tooling.

You will work with Manufacturing, Equipment, and Industrial Engineers to leverage sensor data, fault logs, and maintenance records, delivering a PoC model, dashboards, and actionable insights to fab leadership.

Qualifications

• Pursuing a BS, MS, or PhD in a technical field.
• Background in CS, DS, AI or engineering disciplines.
• Programming in Python, R, MATLAB is expected.
• Knowledge of ML fundamentals, statistics, and data viz.
• SQL and database querying skills; strong problem solving.

Responsibilities

• Analyze large volumes of equipment and manufacturing data.
• Develop ML models to predict failures or degradation.
• Create predictive maintenance algorithms from historical data.
• Evaluate equipment health indicators and recommend actions.
• Develop dashboards communicating performance and risk trends.
• Collaborate with engineers to validate model predictions.
• Present findings to engineering and operations leadership.

Skills

Python

R

MATLAB

Machine Learning fundamentals

Statistical data analysis

Data visualization techniques

SQL or database querying

Strong analytical and problem-solving

Cross-functional collaboration

Education

BS, MS, or PhD in Computer Science

BS, MS, or PhD in Data Science

BS, MS, or PhD in Artificial Intelligence

BS, MS, or PhD in Electrical Engineering

BS, MS, or PhD in Mechanical Engineering

BS, MS, or PhD in Industrial Engineering

BS, MS, or PhD in Computer Engineering

Related technical discipline

Job description

AI Engineering Summer Intern (May-Aug '27)

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Job Description Job Title: AI Engineering Summer Intern (May-Aug '27)

Posting Start Date: 10/16/26

Job Location(s): Newbury Park

Requisition ID:78595

Description

We are seeking a highly motivated AI Engineering Intern to support the development of advanced analytics and machine learning solutions for semiconductor manufacturing equipment. The intern will work closely with Manufacturing Engineers, Equipment Engineers, Industrial Engineers, and Operations teams to leverage equipment data, fault logs, sensor information, and maintenance records to identify predictive and preventative maintenance opportunities within a high-volume semiconductor fabrication environment.

This role offers a unique opportunity to apply Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics techniques to real-world manufacturing challenges, helping improve equipment uptime, yield, reliability, and operational efficiency.

Learning Opportunities

During the internship, you will gain hands-on experience with:

Semiconductor wafer fabrication operations

Advanced manufacturing systems

Industrial AI and machine learning applications

Equipment reliability engineering

Predictive maintenance methodologies

Data engineering and analytics platforms

Real-world deployment of AI models in production environments

Success Metrics

By the end of the internship, the candidate is expected to:

Develop a proof-of-concept predictive maintenance model.

Identify key drivers of equipment downtime.

Demonstrate measurable prediction accuracy for selected failure modes.

Deliver dashboards and actionable insights to engineering teams.

Present project outcomes and future recommendations to fab leadership.

Duration of Internship: May -August 2027

Responsibilities

Analyze large volumes of equipment and manufacturing data from semiconductor production tools.

Develop machine learning models to identify patterns that may indicate impending equipment failures or process degradation.

Create predictive maintenance algorithms using historical 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.

Desired Project AreasThe intern may contribute to one or more of the following initiatives:

Predictive Maintenance

Forecast equipment failures before they occur.

Identify early warning indicators from sensor and equipment telemetry data.

Develop Remaining Useful Life (RUL) estimation models.

Fault Detection & Classification

Build anomaly detection models for equipment health monitoring.

Classify equipment alarms and fault signatures.

Detect abnormal operating conditions in real time.

Preventative Maintenance Optimization

Recommend maintenance intervals based on actual equipment condition.

Reduce unnecessary preventative maintenance activities.

Improve maintenance scheduling to minimize production impact.

Equipment Reliability Analytics

Analyze Mean Time Between Failure (MTBF).

Analyze Mean Time To Repair (MTTR).

Identify chronic tool reliability issues and improvement opportunities.

Required Experience and Skills

urrently pursuing a BS, MS, or PhD in:

Computer Science

Data Science

Artificial Intelligence

Electrical Engineering

Mechanical Engineering

Industrial Engineering

Computer Engineering

Related technical discipline

Experience with one or more programming languages:

Python

R

MATLAB

Knowledge of:

Machine Learning fundamentals

Statistical data analysis

Data visualization techniques

SQL or database querying

Strong analytical and problem-solving skills.

Ability to work effectively in a cross-functional engineering environment.

Desired Experience and Skills

The typical pay range for an Engineering intern across the U.S. is currently USD $29.00 - $49.00 per hour and for a Non-Engineering intern across the U.S. is currently USD $23.00 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at [e-mail].

• Skyworks is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristic protected by law.
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