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The Manufacturing Automation Software Development Engineer is responsible for supporting manufacturing systems through integration, testing, configuration, and troubleshooting of automation software. The role involves driving continuous improvement efforts, acting as an expert for specific automation systems, and potentially developing software enhancements.
The AI Software Simulation Engineer at Intel will model AI hardware architectures and enable AI software stacks on simulation models. Responsibilities include contributing to the development of Intel's AI architecture projection framework while leveraging strong programming skills in C++ and Python and knowledge of computer architecture.
The Software Research Engineer role focuses on developing AI/ML applications and computational tools to enhance patterning solutions and manufacturing design efficiency. Responsibilities include exploring solutions, technical design, code implementation, and ensuring data integrity through collaboration with internal teams.
The Software Performance Engineer will optimize Intel's hardware and software, evaluate new Intel technologies, and strengthen partnerships with external parties to improve performance and deliver solutions. This role involves stakeholder management, consensus building, and effective communication to ensure projects meet timelines and standards.
The AI SW System Architect will develop and define software architecture for efficient AI systems, analyze performance targets, and provide integration support. They will work with GPU and CPU architectures and must understand hardware and software systems. Knowledge of AI stack software architecture and graph compilation is essential, with an advantage for those experienced in Pytorch and MLIR Compilers.
The Manufacturing Automation Software Development Engineer integrates and supports factory automation software systems, applies troubleshooting for automation issues, and drives improvements for system health, while participating in cross-functional teams and possibly developing software enhancements or monitoring tools.
The Neuromorphic AI Software Framework Lead at Intel will integrate Loihi APIs into AI/DL frameworks like PyTorch and TensorFlow, develop tools for model training, enhance compiler and profiling infrastructure, and lead a collaborative team to drive the adoption of neuromorphic computing technology in commercial products.
The PQC Research Scientist designs and executes research projects on Post-Quantum Cryptography, focusing on scalable solutions and prototypes. The role involves conducting laboratory research, publishing findings, and collaborating across departments to advance knowledge and technology in post-quantum cryptography.
As a Software Development Engineer at Intel, you will optimize production through the design and maintenance of automated systems, integrating solutions with existing manufacturing processes. Responsibilities include developing applications, conducting testing, and collaborating with cross-functional teams to enhance scalability and reliability.
The InfoSec Client Solutions Analyst will support and enhance Intel® Federal's secure IT solutions, working within an Agile team to deploy client systems, monitor security threats, and ensure compliance with regulations. This includes managing client systems, participating in operations, and proposing improvements.
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