To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/DivisionKLA has manufacturing sites worldwide. The Global Operations (GOPS) team, comprised of Manufacturing, Supply Chain Management, Manufacturing Engineering, Installation and Quality, builds our leading-edge technology. GOPS partners with KLA's global supply base and design engineering teams to develop new products, working continuously to build better, faster and more cost-efficient solutions.
What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
Lead and evolve global electrical engineering standards, specifications, and design guidelines across a diverse facilities portfolio.
Review electrical designs for capital projects, infrastructure upgrades, and critical facility improvements to support consistency, quality, and compliance.
Guide technical strategy for power distribution, UPS, generators, transfer systems, and other critical power infrastructure.
Partner with cross-functional teams to improve resiliency, operational readiness, and long-term facility performance.
Support renewable energy and electrification initiatives, including solar, battery storage, EV charging, and utility coordination where relevant.
Translate technical requirements into clear standards, design guidance, and executive-ready summaries.
Preferred Qualifications The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development, orchestration, and user experience rather than model training. The engineer will develop scalable backend services, prototype intuitive user interfaces, and enable seamless interaction between users and LLM-based systems. This position requires a strong blend of software engineering, systems thinking, and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and frameworks.Design and develop end-to-end AI applications that leverage LLMs for business use cases
Responsibilities:
Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows
Prototype and develop intuitive user interfaces that enable effective human-AI interaction
Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications
Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability
Implement retrieval-augmented generation (RAG) architectures using internal and external data sources
Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge bases)
Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality
Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI-enabled solutions
Ensure responsible AI practices, including privacy, security, and bias mitigation
Rapidly prototype AI tools and iterate based on user feedback
Minimum Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field
Minimum three (3) years of professional software development experience
Strong programming skills in Python, JavaScript, or similar languages
Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)
Knowledge o