Position Details
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
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
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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