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The Automated Systems Engineer will integrate hardware and software for AI systems, develop validation software, support production lines, define test plans, and debug system issues. The role requires strong experience in software development and system validation, along with collaboration across various teams.
As a Memory and I/O IP Design Engineer, you'll develop and verify memory interface and transceiver-based IP cores. Responsibilities include architecture and design based on protocol specifications, RTL development, verification, hardware debugging, and customer support. This entry-level position requires collaboration and strong problem-solving skills.
The role involves researching and implementing advanced AI optimization techniques for Intel's hardware and software products, focusing on generative AI and multimodal systems. Candidates will need strong expertise in model optimization, computer architecture, and distributed computing, as well as hands-on prototyping skills. Regular contributions to scientific literature are expected, along with working with various partners to drive the research agenda.
Lead the execution of internal audit engagements, guide team members, analyze complex business issues, summarize results into reports, communicate effectively with stakeholders, and maintain objectivity.
The Database Engineer will provide 24x7 level-2 support for databases in a manufacturing environment, managing performance and reliability of Oracle, MSSQL, DB2, and PostgreSQL databases. Responsibilities include operational DBA duties, crisis management, and collaborating with global teams.
The SW Embedded Engineer will be part of the embedded team, leading embedded solutions for Intel AI. Responsibilities include working in various environments, engaging with device architects and system designers, and managing high-end solutions using cutting-edge technology.
The Software Team Manager for the Deep Learning Graph Compiler will lead a team in designing and optimizing graph compilers for deep learning workloads, overseeing technical projects and team management. The role involves collaboration with engineers and researchers to deliver scalable AI solutions.
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