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The role involves developing advanced software algorithms for the semiconductor manufacturing process, focusing on modeling, data analytics, and process control solutions to enhance efficiency and innovation in chip design.
The Field Applications Engineer provides technical support for KLA's wafer metrology and inspection products in customer facilities. Responsibilities include acceptance testing, customer training, data analysis, issue escalation, and generating best known methods (BKM). Frequent travel to customer sites is required.
The Product Development Engineer will conceptualize, develop, and test advanced devices for chemical analysis technology, focusing on requirements analysis, theoretical evaluations, gap identification, and testing designs for semiconductor manufacturing applications.
The Product Marketing Manager will develop and execute marketing strategies for KLA’s semiconductor solutions. Responsibilities include conducting market research, defining product positioning, collaborating with sales teams to enable effective selling, and analyzing competitors to inform marketing efforts.
The Software Engineer will be responsible for software development using programming languages such as C++, C# .Net, WPF, and Angular. This includes building software infrastructure, participating in the product lifecycle, collaborating across teams, and troubleshooting complex software issues. The role involves traveling to different sites as needed.
You will be responsible for designing, developing, testing, and implementing software solutions for KLA's optical inspection products. Collaboration with interdisciplinary teams is essential to meet system requirements and enhance product capabilities, particularly focusing on real-time, high-speed systems utilizing Computer Vision and Deep Learning technologies.
KLA is seeking a Software Engineer to develop and enhance software solutions within the Optical Metrology Division, which focuses on advanced measurement systems for semiconductor manufacturing. The candidate will work on innovative products to improve measurement accuracy and compatibility with existing systems.
The Software Engineer will build and maintain infrastructure for HPC solutions, develop machine control and business logic solutions, and support data management and machine learning model training. Candidates should have strong skills in C/C++ and Python, with a deep understanding of distributed software systems.
The Optical Engineer will troubleshoot and enhance optics modules and manufacturing processes for deep-UV imaging systems. Responsibilities include developing procedures, test fixtures, and training others on optics-related processes. A solid understanding of optics theory and experience with design software is preferred.
The role involves troubleshooting and refining optics modules for deep-UV imaging systems, developing test procedures, and training others on optics processes. Strong understanding of optics theory is essential, alongside experience with design software and statistical analysis.
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