Jobs at KLA

• Responsible for providing technical applications support for the development and implementation of KLA products in customer fabrication facilities
• Makes presentations on all aspects of products

• Installation/upgrade/technical support of Klarity Defect and KAI products
• Project management for beta and product adoption at customer site

• Having a strong understanding of defect detection, metrology, yield management, and experience in operating Linux/php/python is advantageous
• Ability to set priorities and work collaboratively with multiple stakeholders on multiple issues

• Developing new applications, use cases and best-known methods for increasing value of KLA products for customers.
• Must have analytical and complex problem-solving skills, be self-motivated and driven to make a positive impact.

• Support, maintain, and troubleshoot SFS tools in customer environments
• Diagnose tool issues, identify corrective actions, and ensure optimal tool performance

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies.

• Characterization of next-generation, state-of-the art semiconductor wafer inspection products.
• Develop and review feature requirements, design test plans, collect data, perform analysis, publish results and recommendations in the form of applications notes and best-known methods.

• Deliver expert technical support that ensures optimal tool performance in customer fabs
• Implement detailed installation plans

• Assist in the development and maintenance of customized Windows OS images aligned with KLA’s hardware and software requirements.
• Learn and use PowerShell scripting to help automate system configuration and basic diagnostic tasks.

• Lead medium-sized projects e.g. H2H, PLC, alpha characterization, beta testing, and gap analysis.
• Create and evaluate characterization and field test plans.

• Embed with KLA teams — including teams where nobody has written a line of code — and map their highest-friction workflows to AI-automatable solutions
• Ship production agent systems within weeks of starting an engagement; iterate with the team until the system is stable and trusted

• Embed with KLA teams — including teams where nobody has written a line of code — and map their highest-friction workflows to AI-automatable solutions
• Ship production agent systems within weeks of starting an engagement; iterate with the team until the system is stable and trusted

• Design models of high performance linear and rotary motion systems.
• Develop, build, and control mechatronics hardware.

• Support project teams with the design and development of mechanical components and sub‑systems for vacuum platforms
• Create and maintain 3D CAD models and engineering drawings, following established standards and best practices

• Develop, test and validate detailed requirement specifications and solutions using systems engineering methodology
• Drive major design projects from requirements to final design release including regular milestone reviews with stakeholders.

• Build software that runs large-scale deep learning or image processing workload on a cluster easy
• Works with product team to ensure we're building the right software for our customers, delivered at high quality and on-time.

• Responsible for providing technical applications support for the development and implementation of KLA reticle and photomask inspection systems. Makes presentations on all aspects of products.

• Be responsible for acceptance test, customers training, recipe setup, project execution, alpha/beta testing and related pre-sales activities.

• Deliver expert technical support that ensures optimal tool performance in customer fabs
• Implement detailed installation plans

• Requires less than 1 year of related experience
• Pursuing a degree in data analytics, economics, marketing, business or related field

• Students working towards an M.S. or Ph.D. in Computer Science, Electrical/Computer Engineering, or related field
• Experience with self-supervised learning and representation learning