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Serve as primary technical contact for customers and field on ECI metrology applications. Support NPI installation, qualification, troubleshooting, and production ramp. Develop training, collateral, demos, and lab tests. Collaborate with R&D and engineering on product definition, modeling, and process improvement. Provide process support for plating and wet cleans and manage projects to ensure on-time delivery. Travel ~30% for escalations and customer support.

The Senior Instrumentation Software Engineer drives the design and development of software solutions for KLA's inspection machines, leads and mentors engineers, and engages with teams to build solutions for customer requirements.

The Product Marketing Manager is responsible for market assessment, product lifecycle planning, customer analysis, marketing campaign management, and supporting pre-sales and after-sales projects for semiconductor technologies.

Develop and maintain C++ machine control and data analysis software for advanced mask inspection systems. Collaborate with multidisciplinary teams to define system requirements, optimize performance, support integration and testing, and resolve customer escalations. Work in Linux environments and leverage RPC/REST APIs, containerization, and modern UI frameworks as needed.

The Embedded Software Engineer will design and develop embedded software for reticle inspection systems, focusing on high-speed data capture and low-level hardware interfaces. Responsibilities include coding in C/C++, developing Linux kernel drivers, collaborating with cross-functional teams, and driving technical decisions to ensure quality and reliability.

Lead development and execution of the multi-year Plan of Record (POR) for Actinic EUV Mask Inspection products. Manage a team of Technical Project Managers, drive POR delivery (schedule and cost), coordinate cross-functional stakeholders (engineering, manufacturing, supply chain, quality), resolve execution issues, and support PLC phase exit presentations and governance.

The role involves enabling customer success through measurements, troubleshooting metrology issues, documenting results, and developing models for semiconductor manufacturing. Cross-functional collaboration and some travel is required.

Design, deploy, and operate scalable AI infrastructure for large-scale training and inference. Evaluate emerging hardware/software, integrate GPU/TPU clusters, manage storage/networking and data pipelines, optimize performance and reliability, implement security and compliance, and collaborate with AI researchers and engineering teams to produce repeatable platform standards and reference architectures.

Design, develop, and optimize high-performance, scalable distributed systems and data-processing applications on Linux. Work with containerized, cloud-native technologies, HPC, GPU/CUDA acceleration, and high-speed networking. Support production software, perform performance analysis, and collaborate across engineering teams to debug and deliver mission-critical semiconductor inspection systems.

Own end-to-end testing for system-level, hardware-integrated semiconductor products. Design and run automated and manual tests across UI and API layers, drive test strategy and coverage, analyze failures using ML/LLM and present findings in Power BI, participate in deployment and troubleshooting at customer sites, and collaborate cross-functionally across engineering, systems, hardware, and manufacturing teams.