Advanced Algorithm Intern at KLA

Milpitas, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, ElectronicsIndustries

Requirements

Currently pursuing a Ph.D. in Physics, Mathematics, Computer Science, Electrical Engineering, or a related field
Strong background in computational methods for physics simulations (electromagnetics preferred)
Expertise in graph compute methods for HPC
Expertise in machine learning for physics-based problems (e.g., Fourier Neural Operator, Physics-Informed Neural Networks) is a plus
Proficiency in C++, Pytorch/JAX/Tensorflow
Excellent data visualization and communication abilities

Responsibilities

Innovate next-generation ML solutions to accelerate electromagnetic solvers with HPC
Investigate and characterize next-generation solutions against current best-known methods
Collect data using KLA tools and software
Analyze and summarize results
Help automate analysis workflows

Skills

Key technologies and capabilities for this role

AlgorithmsSemiconductorMetrologyScatterometryOptical Film ThicknessCritical DimensionSoftware EngineeringResearchData Science

Questions & Answers

Common questions about this position

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

This is a part-time employment position.

What are the main responsibilities of the Advanced Algorithm Intern?

Responsibilities include working on cutting-edge research in advanced computational methods, investigating next-generation solutions, collecting data using KLA tools and software, analyzing results, and helping automate analysis workflows.

What skills are needed for this internship?

The role requires skills in advanced computational methods, machine learning (ML) solutions, data collection and analysis using specialized tools, and workflow automation.

What is the company culture like at KLA?

KLA has an exciting work environment where teams thrive on tackling hard problems, with a strong focus on innovation and investing 15% of sales back into R&D. Expert teams of physicists, engineers, data scientists, and problem-solvers collaborate with leading technology providers.

What makes a strong candidate for this intern role?

Strong candidates will have interest or experience in advanced algorithms, machine learning, data analysis, and computational research, with a hands-on approach to problem-solving in a semiconductor technology context.

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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