Job Details:

Job Description: 

Suppose you have well known the popularity of large model and its various applications such as chatbot, knowledge base, code generation and etc. As the world class development team for edge AI, Intel ECG China team is now putting more efforts on the development of innovative large model solutions for industry landing and delving into any state of art large model technology like data preparation, model fine-tuning, distilling, RFT and inference acceleration. If you are interested in this effort, welcome to join us and contribute your own strength to the significant industry change triggered by large model.

Qualifications:

Job ResponsibilityYou will be responsible of LLM and LVM reference solution development based on Intel platform. The working scope will include, but is not limited� Develop LLM or LVM sample application based on different industry use cases;� Utilize OpenVINO and its provided tools to convert, quantize and inference LLM or LVM with optimal performance on Intel edge platform;� Participate in the model fine-tuning tool development;� Participate in the model distilling tool development;� Participate in the exploration of RFT for few sample learning;� Participate in the development of other accompanied components such as RAG;� Optimize e2e workload based on Intel underlying AI/ML acceleration libraries or AI acceleration instructions.Qualification� Familiar with popular large vision models such as ViT, Grounding-DINO, SAM, CLIP;� Familiar with popular large language models such as DeepSeek, Qwen, ChatGLM, MiniCPM� Good experience on model training using deep learning framework such as Pytorch and TensorFlow; � Good at C++ and python code programming and able to develop application independently;� Familiar with Linux system and have corresponding development experience� Good communication and teamwork� Good English skills in reading, listening and verbal speaking.Additional� Know about Intel discrete GPU and behind technology� Know about AI Pipeline framework such as FFMPEG, GStreamer and have related development experience� Experience using computer vision and AI algorithms to solve problems in image or video analysis such as object detection, tracking, segmentation, classification etc;� Understanding on video technologies such as media processing and media codec is a good plus;� Experience with system level performance profiling and optimization is a good plus;� Understanding on Intel products like Intel Xeon, Core, Atom, Gen Graphics is a good plus;� Know about version control and CICD tools like Git, Jenkins etc. and understand how to do agile development.

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location: 

PRC, Shanghai

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

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