Agentic AI Software Engineer - Equipment Data Analytics

KLA•Milpitas, CA

1d•$136,300 - $231,700

About The Position

KLA is seeking an experienced Software Engineer to build AI-driven analytics and automation solutions for advanced semiconductor manufacturing systems. The role develops intelligent software platforms that combine large-scale equipment data, hardware telemetry, machine diagnostics, and Agentic AI technologies to improve equipment performance, reliability, and productivity. Working at the intersection of software, AI, big data, and complex hardware systems, the engineer builds scalable applications that help semiconductor engineers diagnose issues, predict failures, and interact with electron-beam inspection and metrology tools using natural language. This is a hands-on engineering role with global impact; the solutions are deployed in semiconductor manufacturing facilities worldwide and support advanced production hardware.

Requirements

BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
At least 5 years of professional software engineering experience developing production applications.
Strong Python programming skills and proficiency in at least one object-oriented language such as Java, C++, or C#.
Experience developing scalable backend services, APIs, databases, and distributed software systems.
Experience with hardware-integrated software systems, industrial or manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
Experience building data-intensive applications using SQL, NoSQL, streaming platforms, or large-scale data processing technologies.
Familiarity with cloud-native development, CI/CD pipelines, source control, automated testing, and modern software engineering practices.
Strong analytical and troubleshooting skills and the ability to work across multidisciplinary engineering teams.

Nice To Haves

Experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
Experience developing applications using LLMs, Agentic AI frameworks, retrieval-augmented generation, tool or function calling, or AI orchestration frameworks.
Experience with vector databases, knowledge graphs, machine learning pipelines, or predictive analytics solutions.
Experience developing React-based user interfaces or modern web applications.
Understanding of equipment diagnostics, predictive maintenance, reliability engineering, or operational analytics.
Experience deploying software in secure, disconnected, or air-gapped environments.

Responsibilities

Design and develop production-quality software for AI-driven equipment diagnostics, monitoring, and predictive maintenance.
Build and enhance Agentic AI frameworks integrating large language models with engineering and equipment data systems.
Develop software interfaces to hardware platforms, equipment telemetry streams, machine control systems, and manufacturing data sources.
Integrate AI technologies with scalable data platforms, including streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
Build secure APIs, services, and orchestration layers for intelligent workflows and automated decision-making.
Develop high-performance data pipelines that turn equipment and operational data into actionable insights.
Create intuitive user experiences and modern web applications that simplify troubleshooting and equipment diagnostics.
Collaborate across software, systems, hardware, data science, and product engineering teams to deliver end-to-end solutions.
Deploy and support solutions in highly secure, customer-controlled semiconductor manufacturing environments.
Drive software design, code quality, testing, and continuous improvement across the platform.