Jobs at KLA

Qualify software products through functional, regression, performance, reliability, and system-level testing. Design test plans and automated testing solutions, analyze results, and produce qualification reports and documentation. Collaborate with engineering, product, manufacturing, marketing, and customer support teams throughout the software lifecycle. Apply Generative AI, LLMs, AI agents, and data analytics to improve test design, defect analysis, quality insights, and engineering productivity. Travel to customer fabrication facilities for deployment and troubleshooting as needed.

Supports semiconductor inspection products through customer demonstrations, product characterization, troubleshooting, training, documentation, and technical collaboration. Investigates manufacturing yield issues, develops test plans, evaluates tool and algorithm performance, communicates product value, and supports beta testing, tool ramp, and customer adoption. Requires frequent global customer interaction and more than 50% travel.

Develop and execute automated and manual software tests, create automation scripts and frameworks, and build workflows that improve testing and business processes. The role requires strong SDLC knowledge, analytical problem-solving, communication, teamwork, and attention to detail. Candidates will use C# or Java, preferably C#, and frameworks such as FlaUI, MS CodedUI, Appium, or Selenium. Occasional short-term travel to Israel, the United States, and customer locations is required.

Designs, automates, and scales infrastructure, CI/CD pipelines, cloud environments, and containerized applications. Integrates agentic AI into software delivery for code review, deployment validation, root cause analysis, and impact assessment. Builds AI knowledge repositories and prompts, automates operational processes, supports incident response, and collaborates across engineering teams to improve platform reliability, developer productivity, and delivery efficiency.

Develops and deploys software components across distributed nodes, manages multiple software instances, investigates and resolves software issues, performs code reviews, documents solutions, and collaborates with cross-functional teams. The role also requires identifying technical risks, supporting quality and customer teams, and applying containerization, orchestration, databases, observability, inter-process communication, and automation technologies.

Define and govern enterprise content models, taxonomies, metadata frameworks, authoring standards, and content reuse strategies. Lead content governance, quality measurement, stakeholder adoption, and documentation modernization initiatives. Partner with technical, engineering, product support, and knowledge management teams to evolve content platforms, search experiences, and digital knowledge ecosystems. Develop an AI-ready content architecture roadmap supporting semantic search, knowledge graphs, automation, and scalable knowledge delivery.

Administer and maintain KLA’s customer document portal, managing onboarding, authentication, permissions, entitlements, secure content access, incident resolution, vendor coordination, and portal enhancements. The role partners with IT, product support, marketing, and digital experience teams while ensuring cybersecurity, DRM, intellectual property, and data privacy compliance.

Serve as the primary technical interface for PCB customers, providing application guidance, product demonstrations, validation, and implementation support. Analyze customer feedback to guide product improvements, collaborate with engineering, marketing, and software teams, lead application development initiatives, track projects, and contribute to next-generation PCB and advanced packaging solutions.

Develop and maintain PLC software for semiconductor manufacturing equipment, including simulation concepts, modular IEC 61131-3 applications, Structured Text logic, fieldbus communication, machine interfaces, requirements analysis, software design, unit testing, and root-cause correction. Collaborate with engineering and development teams, contribute to project estimation and process improvements, manage technical risks, and support LIS product software. Travel to Germany, the United States, and customer locations may be required.

Develop and maintain PLC software and simulations for machine functions using IEC 61131-3, Structured Text, Beckhoff TwinCAT, and modular function blocks. Perform requirements analysis, software design, development, unit testing, root-cause analysis, and corrective actions. Collaborate with engineering, software, hardware, electronics, and partner teams; contribute to project estimation, risk mitigation, process improvements, and LIS product expertise. Short-term travel to Germany, the USA, and customer locations is required.

Develop and support complex software for semiconductor wafer inspection systems using Java, .NET, C#, and C++. Responsibilities include software design, architecture, debugging, development lifecycle activities, cross-functional collaboration, product support, and deployment. The role requires understanding Windows and potentially Linux, HPC, Win32, and inspector software, while collaborating globally and traveling to KLA and customer sites as needed.

Develop and optimize image processing, computer vision, machine learning, and deep learning algorithms for semiconductor inspection. Prototype concepts in Python and implement production-quality solutions in C++. Lead features from requirements through customer deployment, troubleshoot field issues, perform root-cause analysis, and document technical findings.

Designs storyboards and learner-centric training experiences for XR, AR, VR, and 3D content. Analyzes technical documentation, collaborates with engineering teams, subject matter experts, instructors, and mixed-reality developers, and manages multiple global projects through review and approval. Tracks milestones, risks, dependencies, and stakeholder actions while supporting process improvement and high-quality delivery.

Leads and mentors DevSecOps and security engineering teams while integrating SAST, DAST, vulnerability management, secrets management, and cloud-native security into enterprise CI/CD pipelines. Designs secure architectures for applications, APIs, containers, Kubernetes, and infrastructure as code. Drives Secure SDLC, threat modeling, security initiatives, observability, and automation across Agile, Scrum, and SAFe environments while influencing technical and executive stakeholders.

Design and lead complex, distributed, scalable, high-performance software systems for semiconductor inspection technologies. Responsibilities include modernizing legacy platforms, developing architecture and engineering plans, optimizing reliability and performance, applying cloud-native, microservices, AI/ML, big data, and DevOps practices, and mentoring technical teams across global organizations.

Develop scalable automation frameworks and software tools for desktop, web, API, and system testing. Integrate automated validation into CI/CD pipelines, improve software testability, apply AI to test generation and failure analysis, automate quality metrics, build Power BI dashboards, and support DevOps and release-readiness initiatives.

Designs and maintains SAP-to-Snowflake data ingestion, CDC, ETL/ELT pipelines, dimensional and data vault models, data quality controls, and governed datasets. Optimizes Snowflake performance, reliability, and costs; implements security policies and metadata practices; collaborates with BI teams and stakeholders; documents solutions and supports production operations. Requires strong SQL, Python, SAP integration, Snowflake, orchestration, transformation, CI/CD, and data modeling experience.

Lead global cloud operations across AWS, Azure, and GCP, managing distributed teams and 24x7 support. Responsibilities include service delivery, incident management, governance, security, monitoring, disaster recovery, business continuity, cloud financial operations, cost optimization, capacity planning, and executive reporting. The role requires maintaining highly available, reliable, secure, and compliant enterprise cloud platforms while standardizing operating models and operational processes.

Designs, automates, and scales infrastructure, systems, CI/CD pipelines, and services supporting software products. Integrates AI capabilities into DevOps workflows, manages cloud infrastructure with Infrastructure as Code, operates containerized applications, and develops automation scripts. Collaborates with software, quality, and infrastructure teams to improve delivery reliability and productivity. Participates in incident response, root cause analysis, platform modernization, architecture discussions, and engineering standardization.

Serve as the primary technical customer-facing engineer for PCB and advanced packaging applications. Provide demonstrations, validate product performance, capture feedback to drive product improvements, lead application development initiatives, collaborate cross-functionally, and track project progress to ensure successful customer implementations.