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The HPC System R&D Engineer will develop system-level HPC technologies for next-gen clusters used in KLA tools, focusing on deploying AI solutions on on-prem and cloud infrastructures while improving existing frameworks.
Design, develop, and maintain software features for semiconductor products while collaborating with multi-site teams. Analyze complex problems and enhance existing software designs. Participate in requirement definitions and technical assessments, and contribute to the development process improvements.
The HPC Software Systems Specialist will develop scalable software infrastructure for AI solutions, manage and expand a team of software engineers, ensure project adherence to timelines, and collaborate with various teams across global locations. The role requires strong programming skills, knowledge of HPC hardware and software, and adaptability in a fast-paced environment.
The Product Development Engineer will be responsible for driving product improvements in collaboration with service teams and customers, including the development of new features and training associated personnel. This role requires travel to customer sites to resolve and support technical issues post-release. Strong analytical, organizational, and leadership skills are essential.
As a Data Engineer at KLA, you will build and maintain data pipelines, ensure data quality and accessibility, and support AI/ML/SW projects through data insights. Collaborating with analytics teams, you will improve data models and develop strategies for scalable data platform architecture.
The role involves designing and developing machine learning software solutions for semiconductor device metrology, defining software requirements, optimizing algorithms, implementing solutions in Python with TensorFlow, and maintaining software throughout its lifecycle. The candidate will also document their work and provide technical support during testing phases.
The AI Engineer will develop advanced image processing algorithms for wafer inspections, focusing on machine learning and computer vision. Responsibilities include coding in Python or C++, deploying machine learning solutions, and collaborating effectively within a team, all while leveraging deep learning frameworks.
As a Sr. Data Engineer, you will analyze key data insights, develop analytical solutions, and create performance indicators and dashboards. You will collaborate with stakeholders to gather requirements, optimize Power BI solutions, and manage data models and visualizations for business-critical decisions.
The Software Engineer will support the Klarity product suite at KLA, utilizing C++ and RDBMS systems. The role requires a self-driven individual with a willingness to learn. A Master's Level Degree or a Bachelor's Level Degree with 2 years of related experience is preferred.
The Software Engineer is responsible for software development using C++, C#, and related technologies, collaborating with global teams to analyze requirements, design, code, integrate and test software products. The role involves deployment and troubleshooting at customer sites, ensuring software meets system requirements and contributes to the development of semiconductor technologies.
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