Jobs at KLA

Develop and maintain semiconductor inspection software using Java and C#/C++ across Windows/Java environments. Design software architecture, debug complex multi-process systems, follow SDLC, collaborate globally, and support product lifecycle including occasional travel to sites.

Design, develop, and maintain high-performance production software (C# / Java) for semiconductor inspection systems. Contribute across the product lifecycle, collaborate with global teams, support deployments and customers, and apply software engineering best practices. Opportunity to work with inspection use cases, SWIFT tools, and AI-driven technologies; travel globally to support products.

Develop and debug inspector software using C#/C++ across the full product lifecycle. Collaborate globally with systems, hardware, applications, and manufacturing teams to define requirements, design, implement, deploy, and support software solutions. Apply SDLC best practices, clean code and SOLID principles, and travel to other KLA and customer sites as needed.

This role involves leading software engineering efforts for Surfscan products, enhancing software architecture, and managing project teams. Responsibilities include technical evaluations, ensuring design robustness, and improving development processes.

Design, develop, and optimize high-performance distributed software systems for HPC environments, focusing on C/C++ development and collaboration with cross-functional teams.

Design, prototype, and productionize computer vision and machine learning algorithms for semiconductor wafer inspection. Develop and optimize image processing for defect detection and classification, ensure real-time scalability and performance, and collaborate with cross-functional teams to integrate solutions across Windows and Linux environments.

Develop, prototype, and deploy real-time ML/DL and computer vision algorithms for semiconductor wafer inspection. Design and modify model architectures, train production-ready models, write efficient code and custom operators, and collaborate with cross-functional teams to deliver productized solutions.

Lead and scale an AI/algorithm engineering team, define AI roadmap aligned to product goals, design and implement ML/DL/LLM solutions from research to production, integrate AI into products, drive adoption of advanced techniques (RAG, generative AI), collaborate with cross-functional teams, and mentor engineers to ensure scalable, production-ready systems.

Join a machine learning group to analyze data, research solutions, develop and prototype ML concepts, validate approaches, and specify software requirements for inspection tools; contribute to algorithm and product software development.

The Software Engineer develops software systems for AI-driven applications, implementing components, services, and integrations, while ensuring reliability and production quality.

Design and deliver LLM-powered applications, build retrieval pipelines, and create evaluation frameworks. Collaborate with teams on innovative AI/ML solutions.

The Senior Software Engineer develops AI-driven software systems, focusing on backend services, APIs, and workflows, while collaborating with cross-functional teams.

The DevSecOps Engineer will focus on integrating security practices into the software development and operations lifecycle, requiring relevant experience in software engineering and security.

The Head of IT & Business Partner India will align IT strategy with business goals, manage IT service delivery, ensure stakeholder satisfaction, and lead IT operations within India, while advocating for local needs in global forums.

Configure and administer Collibra for data governance, integrate with enterprise systems, support data traceability, and enhance data quality.

The Mixed Reality Manager will define the strategic roadmap for MR products, lead cross-functional teams, provide technical oversight, and manage project resources while staying current with MR technologies.

As a Software Engineer, you will collaborate with teams to design and develop web applications, focusing on UI design and data visualization using real-time data.

The Senior Data Engineer will design data ingestion pipelines from SAP to Snowflake, optimize ELT processes, ensure data quality, and collaborate with stakeholders for analytics solutions.

The Software Engineer will design, develop, and optimize software for scientific computing, collaborating with scientists and engineers to create robust solutions. Responsibilities include coding, code reviews, testing, and maintaining software applications focused on modeling and computational workflows.

The role focuses on designing, developing, and optimizing software for scientific computing and modeling solutions on the .NET/Windows platform, requiring collaboration with scientists and engineers.