Job Details:

Job Description: 

CCG China Edge SW Solutions Engineering team is seeking talents to join and create world-leading high-performance AI Large-Model solutions with optimized software for edge scenarios. In this position, you will be responsible for investigating and researching modern AI algorithms and software for Enterprise use cases in various edge scenarios. You will use your strong knowledge of mathematical and algorithmic techniques, and software development skills to investigate, enable, optimize, and validate edge AI solutions on Intel CPU, GPU and NPU platforms. Responsibilities will include but are not limited to: - Develop AI LM solutions for edge scenarios by leveraging cutting-edge AI technologies like GenAI, Large Language Model, Visual Large Model, Transformer, CNN, model quantization, distillation, model tunning etc. and optimize the algorithms for Intel CPU and GPU. - AI models training/optimization with target use cases and datasets. - Develop and deployment of AI inference pipeline and services with Intel AI frameworks like IPEX, OpenVINO, Intel Extension for Pytorch/TensorFlow - Integration and deployment of AI solutions on cloud native platform. - Perform manual and automated validation of Edge AI solutions, including functional test, KPI test and stability test, etc. - Streamline AI model training, and deployment with essential scripts to improve efficiency.

Qualifications:

Qualifications: - Master's degree or PhD student on Computer Science, Computer Engineering, Software Engineering or Electrical Engineering is preferred - Experience in software development and validation. - Experience with large model and deep learning algorithms is preferred - Experience with mainstream training farmwork like Pytorch, TensorFlow, PaddalPaddal, etc. - Linux software development background with C/C++, Python programming experience - Basic debugging and/or troubleshooting skills in Linux software projects - Good English communication writing and verbal skills - Team player and good communication skills Added Advantages: - Experience with cloud native stack and usages like Docker, K8S, Helm chart, etc. - Experience with state-of-art LLM and Visual Large Models like CLIP, GPT, LLaMA, etc. - Experience with computer vision and machine learning algorithms - Experience with big data process frameworks/tools like Spark/Flink/HDFS - Good understanding of IA architecture/platforms and Linux/Windows operation systems - Technical paper and patent writing - Experience with technical presenting in meetings/forums/summits - Experience in developing automation testing tools/ frameworks

          

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.