About Us - Intel CAIGC is committed to bringing AI from the cloud to end devices and building native on-device intelligent computing. Collaborating with global RnD teams and leading model developers, we connect LLMs/VLMs, AI Agents, media software stacks, and CPU/GPU/NPU hardware. We tackle core challenges in on-device model deployment and hardware-software co-optimization, and deploy cutting-edge multimodal AI capabilities onto massive PCs and end devices. We are looking for creative minds with curiosity, independent judgment, and a hands-on mindset to turn ideas into reality. What You Will Do：Collaborate with top domestic model teams to drive the on-device deployment of LLMs, VLMs, image/video generation models and AI Agents Rapidly prototype innovative ideas; develop inference pipelines, media codecs and automation tooling using Python / C/C++ Participate in the full lifecycle including technical evaluation, prototyping, system integration, performance tuning and product iteration Conduct system-level hardware-software co-optimization targeting CPUs, GPUs and NPUs; explore new approaches to boost engineering efficiency powered by AI Align with model, hardware and ecosystem stakeholders to scale cross-domain on-device AI solutions Why Join Us ？End-to-end full-stack exposure spanning models, Agents, system software, media processing and hardware acceleration Full-cycle ownership - engage projects from initial prototyping all the way to product launch Premium collaboration ecosystem - access leading model teams and Intel's global RnD network Personalized career development - role alignment based on your interests and strengths Mentorship guidance from experienced mentors Pure engineering culture that encourages independent thinking and innovative experimentation If you aim to go beyond surface-level exploration and translate AI innovations into end-user products used by hundreds of millions, come join us.