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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize features for AI inference serving frameworks like PyTorch vLLM and SGLang within Intel's AI software stack.
Enhance deep learning training and inference capabilities, optimizing performance across software and hardware layers including GPUs and AI accelerators.
Debug complex multi-layered software issues and contribute to open-source community discussions and integration efforts.
Minimum Requirements
Bachelor's degree in Computer Science, Electrical and Computer Engineering, or related field with 6+ years experience; or Master's with 4+ years; or PhD with 2+ years.
Proficiency in Python and intermediate advanced C++ (C++14/17) including parallel programming.
Hands-on experience with AI frameworks such as PyTorch, vLLM, and SGLang.
Strong understanding of Large Language Models, computer architecture, hardware-software optimization, and debugging complex multi-layer software systems.
Ideal Candidate Profile
Experienced in AI software development focused on inference serving frameworks and deep learning optimization.
Familiar with hardware-aware software optimizations and performance tuning on GPUs and AI accelerators.
Able to navigate and contribute effectively in large open-source software ecosystems and cross-geo teams.