Customer Support Engineer at KLA

Boise, Idaho, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, ElectronicsIndustries

Requirements

Master's Level Degree with 2 years of work experience or Bachelor's Level Degree with 3 years of work experience
Ability to diagnose and repair a range of simple to very complex repairs
Ability to successfully complete Field Change Orders (FCO's) as necessary
Ability to conduct both planned and corrective maintenance
Must be organized and accurately document work
Ability to complete all administrative requirements quickly and efficiently
Willingness to work in Boise, ID with some travel required for training
Availability for first shift position with some overtime and weekend work as dictated by customer needs

Responsibilities

Diagnose and repair a range of simple to very complex repairs
Successfully complete Field Change Orders (FCO's) as necessary
Conduct both planned and corrective maintenance
Accurately document work and complete all administrative requirements quickly and efficiently

Skills

Key technologies and capabilities for this role

DiagnosticsHardware RepairOpticsImage ProcessingMotion ControlField ServiceTechnical SupportSemiconductor Equipment

Questions & Answers

Common questions about this position

What is the pay range for the Customer Support Engineer position?

The base pay range is $33.75 - $57.36 per hour.

Is this position remote or office-based?

The position is based in Boise, ID with some travel required for training.

What are the minimum education and experience requirements?

A Master's degree with 2 years of work experience or a Bachelor's degree with 3 years of work experience is required.

What benefits are offered to employees?

Benefits may include medical, dental, vision, life insurance, 401(K) with company matching, employee stock purchase program, student debt assistance, tuition reimbursement, and career growth opportunities.

What does the work schedule look like for this role?

This is a first shift position with some overtime and weekend work requested as dictated by customer needs.

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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