Senior Software Engineer

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. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

The Senior Software Engineer builds and supports software systems that enable AI-driven capabilities in products and internal platforms. This role focuses on developing reliable services, APIs, and workflows that integrate machine learning and generative AI (where applicable) into real-world applications. The engineer works closely with AI/ML engineers, data engineers, and product partners to deliver features from design through production support.

Key Responsibilities

• Develop backend services and APIs that integrate AI/ML capabilities into applications (e.g., inference endpoints, orchestration services, workflow automation).

• Implement business logic around AI outputs, including validation, confidence handling, fallback behaviors, and human-in-the-loop patterns where needed.