Intel Sparsity Attention/KVCache Compression algorithm Intern 

China, Shanghai 

781677237

� Master's or Ph.D. student in Computer Science, Artificial Intelligence, Software Engineering, or related fields � Strong background in deep learning, LLMs, or NLP � Familiarity with model compression techniques (e.g., quantization, pruning) � Proficiency in Python or other programming languages � Passion for technology and innovation, with a strong drive to explore and push boundaries � Experience with LLMs (e.g., Mistral, LLaMA, Qwen) is a plus � Knowledge of hardware acceleration (e.g., GPU, TPU, or custom AI accelerators) is a good plus � At least 3 days per week, able to commit to a one-year internshipStudent / InternShift 1 (China)PRC, Shanghai

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.