Agentic AI Software Engineer - Equipment Data Analytics

KLA is building next-generation AI-driven analytics and automation for advanced semiconductor manufacturing equipment, and the team is seeking an experienced Software Engineer to help deliver production-ready solutions. This role focuses on agentic AI capabilities that bring together equipment data, hardware telemetry, machine diagnostics, and natural-language interfaces to improve performance, reliability, and productivity.

This onsite position is based in Milpitas, CA and offers a salary range of USD 136,300 - 199,900 per year. You will collaborate across software, systems, hardware, data science, and product engineering groups to develop an end-to-end platform that operates in highly secure, customer-controlled semiconductor environments.

What You’ll Do

• Design and develop production-quality software for AI-driven equipment diagnostics, monitoring, and predictive maintenance.
• Build and enhance Agentic AI frameworks that integrate LLMs with engineering and equipment data systems.
• Develop software that interfaces with complex hardware platforms, including equipment telemetry streams, machine control systems, and manufacturing data sources.
• Integrate AI technologies with scalable data platforms using streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
• Create secure APIs, services, and orchestration layers that enable intelligent workflows and automated decision-making.
• Build high-performance data pipelines that convert equipment and operational data into actionable insights.
• Develop modern web applications and user experiences that simplify troubleshooting and equipment diagnostics.
• Work cross-functionally to deliver complete solutions, from software and systems through hardware integration and data modeling.
• Deploy and support solutions that run in highly secure, customer-controlled semiconductor manufacturing environments.
• Advance platform quality through strong software design, code quality practices, testing, and continuous improvement efforts.

Required Qualifications

• BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
• 5+ years of professional software engineering experience building production applications.
• Strong programming skills in Python and 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 equipment, manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
• Data-intensive application experience 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, including the ability to work across multidisciplinary engineering teams.

Preferred Qualifications

• Experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
• Experience building applications using LLMs, Agentic AI frameworks, RAG, 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.

Technologies

• Python, Java, C++, C#
• LLMs, NoSQL, SQL, vector databases
• Streaming architectures, knowledge management systems, CI/CD pipelines, APIs

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master’s level degree with 3 years related work experience; or Bachelor’s level degree with 5 years related work experience.

AI Use Statement

• Use of AI, recording tools, or other technologies to generate, suggest, or provide responses during interviews is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer.