Jobs at KLA

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.

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

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.

Design, develop, prototype and deploy complex ML/DL and image-processing algorithms for semiconductor inspection systems. Build and train models using frameworks like TensorFlow or PyTorch, write model architectures from scratch, modify loss functions, and collaborate across teams to integrate ML solutions into products.

Perform requirements analysis, design, develop and unit test software; contribute to project estimation; follow KLA software processes; identify and mitigate technical risks with technical lead; produce robust, scalable designs and handle software sustenance activities.

Design, implement, and scale AI-augmented test automation frameworks for UI, API, performance, and reliability testing. Drive automation coverage, infrastructure, and continuous improvement; partner cross-functionally; deploy and troubleshoot software at customer fabrication sites.

Design, implement, and scale AI-augmented test automation frameworks for UI, API, performance, and reliability testing. Own automated test coverage, infrastructure, and results reporting. Partner globally with cross-functional teams, participate across the software lifecycle, deploy and troubleshoot at customer sites, and travel to fabrication facilities.

Develop high-performance machine control software for wafer inspection products. Analyze and optimize system performance, prototype new concepts, implement resource‑intensive algorithms, document solutions, and collaborate with hardware, systems, and SMEs. Apply OOP principles using C++ or Microsoft .NET; learn new technologies as needed.

Lead design and implement AI-augmented test automation frameworks for UI, API, performance, and reliability testing. Drive automation coverage, scalable infrastructure, cross-functional collaboration, deployment troubleshooting at customer sites, and continuous improvement of qualification processes.

Develop and maintain full-stack software for wafer inspection systems, collaborating with hardware, algorithms, and systems teams. Optimize performance for compute-intensive workloads, contribute to CI/CD and testing, and leverage AI-assisted coding tools to accelerate development and solution quality.

Lead DevSecOps initiatives, ensure application security, mentor teams, implement security tools, and design secure architectures for cloud environments.

Design, develop, and deliver high-quality software for semiconductor inspection products. Analyze complex requirements, build prototypes, debug multi-process Windows systems, and craft scalable architectures from requirements through delivery while following SDLC and engineering best practices.

Manage technical project for Panel Inspection Program, lead engineering teams, resolve complex issues, and communicate effectively with stakeholders.

Responsible for software development and maintenance on a large codebase, collaborating across teams, troubleshooting complex issues, and managing end-to-end product development activities.

The Associate Technical Lead will lead software development, perform requirements analysis, and ensure software quality, while interacting with various teams and contributing to process improvement.

Develop algorithms focused on CUDA acceleration and CPU to GPU conversion for image processing. Stay updated with emerging technologies and enhance platforms with new ideas.

Design, develop, and maintain software for semiconductor manufacturing. Collaborate across teams and apply software engineering best practices.