AI & Workflow Automation Intern at KLA

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, Electronics ManufacturingIndustries

Requirements

Bachelor’s degree in Management Information Systems (MIS) or Computer Science (CS) (Minimum Qualifications)
Power Apps / Power Automate Development (Preferred Skills)
Data Management and Integration (Preferred Skills)
Data Visualization (SQL, Python, Power BI) (Preferred Skills)
API Integrations (Preferred Skills)
Machine Learning Engineering (Preferred Skills)

Responsibilities

Leverage Generative AI models to automate ticket triage, escalation routing, engineer shift assignments, and knowledge retrieval
Utilize Power Platform tools (Power Apps, Power Automate, Power BI) to orchestrate workflows, manage handoffs, and build dashboards for visibility and accountability
Collaborate with engineering and operations teams to translate business needs into scalable automation solutions
Document processes and share best practices for future improvements

Skills

Key technologies and capabilities for this role

AIWorkflow AutomationIntelligent AutomationAutomation DesignAutomation Implementation

Questions & Answers

Common questions about this position

What skills are preferred for the AI & Workflow Automation Intern role?

Preferred skills include Power Apps / Power Automate Development, Data Management and Integration, Data Visualization (SQL, Python, Power BI), API Integrations, and Machine Learning Engineering.

What are the key responsibilities of this intern position?

Key responsibilities include leveraging Generative AI for ticket triage and routing, using Power Platform tools to build workflows and dashboards, collaborating with teams, and documenting processes.

Is this a full-time or part-time internship?

This is a full-time internship.

What will I gain from this internship?

You'll gain hands-on experience with Generative AI and Power Platform technologies, exposure to enterprise workflow automation, and practical skills in digital transformation strategies.

What makes a strong candidate for this intern role?

A strong candidate is motivated, has preferred skills in Power Platform development, data management, visualization, APIs, and machine learning, and can collaborate to translate business needs into automation solutions.

KLA

Provides process control and yield management solutions

About KLA

KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to promote sustainability by committing to using 100% renewable electricity in its operations by 2030.

Milpitas, CaliforniaHeadquarters

1975Year Founded

IPOCompany Stage

Industrial & Manufacturing, EnergyIndustries

5,001-10,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Student Loan Assistance

Tuition Reimbursement

Wellness Program

Mental Health Support

Paid Vacation

Paid Holidays

Parental Leave

Risks

Emerging competition in solid-state battery technology may impact market share.

Rapid innovation in semiconductor processes may outpace KLA's current technology.

Potential delays in achieving renewable electricity goals could affect brand reputation.

Differentiation

KLA specializes in advanced inspection tools and metrology systems for semiconductors.

The company integrates computational analytics to enhance defect detection and yield management.

KLA is committed to sustainability, aiming for 100% renewable electricity by 2030.

Upsides

Rising demand for advanced inspection tools due to AI and IoT growth.

AI-driven predictive maintenance reduces downtime in semiconductor manufacturing.

Collaborations with cloud providers enhance data analytics and process optimization.

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