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Job Details: Job Description: The Role and Impact: Join Intel's Data Center AI organization and help shape how LLM and Agentic AI workloads perform on Intel platforms. Our team operates at a unique intersection of core performance optimization, AI frameworks, and customer-facing AI solutions. We bridge the gap between teams that deeply understand silicon and benchmarking and teams building real-world AI solutions, turning performance insights into software optimizations that developers and customers can use. In this role, you will own end-to-end performance characterization and optimization of LLM and Agentic AI workloads, from Python-level frameworks and inference runtimes down to Linux, system architecture, and hardware performance counters. This is not simply a benchmarking role. Benchmarking tells us what the number is. Your job is to understand why the number is what it is, identify the hardware or software bottleneck, and determine what needs to change to remove it. Your work will translate into code contributions, framework optimizations, best-known configurations (BKCs), customer-ready solutions, and insights that help influence future Intel hardware and software. If you enjoy working across the complete AI stack, from agent frameworks and LLM serving engines to NUMA, memory bandwidth, cache behavior, and silicon counters, this role provides an opportunity to w
American multinational technology company
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