AI-Driven Diagnostics & Calibration Software Engineer

KLA; Milpitas (CA); On-site; USD 136,300 - 231,700; Full time

Job summary

KLA is seeking a hands-on Software Engineer to join the Diagnostics & Calibration software team in Milpitas, CA. You will design, develop, and deliver software that diagnoses and calibrates reticle inspection platforms, partnering with physicists and hardware engineers to translate complex requirements into robust solutions.

You will explore AI/ML and generative AI techniques to prototype and deploy AI-assisted tools that enhance diagnostics, calibration, and engineering workflows, delivering

Qualifications

• Bachelor's or Master's degree in Computer Science, Physical Science, Electrical/Electronics Engineering, Optics, Microscopy, or a related field.
• 4+ years of software development experience (or 2+ years with a Master's) building medium to large-scale applications in multi-developer environments.
• Proficiency with object-oriented design and experience with one or more additional languages such as Python, C++, or C#.
• Genuine enthusiasm for exploring AI/ML and generative-AI tools, with a demonstrated drive to build working applications with them; hands-on experience building applications with LLMs / generative AI fine tuning, RAG, or agentic frameworks, or integrating AI APIs/copilots into engineering workflows.
• Familiarity with CI/CD tools and practices (e.g., Git, Jenkins, GitLab CI, or Azure DevOps), including building and maintaining automated build, test, and release workflows.
• Strong background in software involving hardware-software interaction and system-level behavior.
• Demonstrated ability to translate user needs and system requirements into technical specifications and executable plans.
• Strong problem-solving skills with experience diagnosing and resolving complex issues.
• Excellent communication and collaboration skills in globally distributed teams.
• Self-motivated, with a strong sense of ownership and accountability.

Responsibilities

• Design, develop, test, and maintain LabVIEW-based and multi-language software for diagnosing and calibrating KLA's reticle inspection platforms.
• Learn the existing diagnostics and calibration software architecture and contribute clean, maintainable, well-tested code to meet program goals.
• Translate system-level and user requirements into software designs, implementations, and test plans.
• Explore and apply AI/ML and generative-AI techniques – LLMs, agents, copilots, and automation – to build applications and internal tools that improve diagnostics, calibration, developer productivity, and data analysis.
• Rapidly prototype AI-driven proofs-of-concept, evaluate feasibility and impact, and mature promising ideas into production-ready tools.
• Improve software reliability, maintainability, performance, and scalability through sound design and refactoring.
• Build, maintain, and improve CI/CD pipelines and workflows to support reliable, automated build, test, and release of diagnostics & calibration software.
• Participate actively in design reviews, code reviews, and development best practices.
• Partner cross-functionally with hardware, subsystem, system, manufacturing, and service teams to deliver integrated solutions.
• Support root-cause analysis of complex system-level issues and drive effective, sustainable solutions.
• Travel occasionally to global sites and customer locations to support integration, bring-up, and deployment activities (up to ~10%).

Skills

Object oriented design

Python

C++

C#

AI/ML interest

CI/CD

Hardware-software integration

Problem solving

Communication

Team collaboration

Education

Bachelor's or Master's degree in CS/Physical Science/EE/Optics/Microscopy

Tools

LabVIEW

Git

Jenkins

GitLab CI

Azure DevOps

Job description

KLA is seeking a hands-on Software Engineer to join the Diagnostics & Calibration software team in Milpitas, CA. You will design, develop, and deliver software that diagnoses and calibrates reticle inspection platforms, partnering with physicists and hardware engineers to translate complex requirements into robust solutions.

You will explore AI/ML and generative AI techniques to prototype and deploy AI-assisted tools that enhance diagnostics, calibration, and engineering workflows, delivering