Position Details

Salary $114K – $195K USD / year

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

KLA is seeking an AI Infrastructure Engineer to develop scalable data analysis and machine learning infrastructure for semiconductor manufacturing systems.

Key Responsibilities

Develop software infrastructure for AI applications
Design distributed applications
Write automated tests
Collaborate with stakeholders
Optimize data analysis workflows

Technical Overview

The role involves building and maintaining software infrastructure using Python, Java, Docker, and Kubernetes, focusing on AI applications and distributed systems.

Ideal Candidate

The ideal candidate is a mid-level AI infrastructure engineer with experience in developing scalable data analysis and machine learning applications, proficient in Python and Java, with hands-on experience with containers and orchestration tools like Docker and Kubernetes.

Must-Have Skills

PythonJavaContainersDockerKubernetes

Nice-to-Have Skills

Distributed systemsData analysisMachine learning applications

Tools & Platforms

DockerKubernetesPythonJava

Required Skills

PythonJavaDockerKubernetesDistributed applicationsData analysisMachine learningSoftware infrastructure

Hard Skills

PythonJavaDockerKubernetesDistributed applicationsSoftware infrastructureMachine learningData analysis

Soft Skills

CommunicationProblem-solvingCollaborationMentorshipDesign thinking

Industry & Role

Industry Semiconductor Manufacturing

Job Function Developing scalable AI infrastructure for semiconductor manufacturing

Keywords for Your Resume

PythonJavaDockerKubernetesDistributed applicationsData analysisMachine learningSoftware infrastructureAI applicationsScalable systemsDistributed systems

Deal Breakers

Lack of experience with containers and Kubernetes, No proficiency in Python or Java, No experience with scalable data infrastructure

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