Number of Openings: 2-4
Location: Beijing/Shanghai
Group Introduction:
In the era of large models, computer systems are evolving towards greater scale, distribution, and intelligence, forming a pervasive computing platform that integrates cloud and user devices. This allows users to access intelligent services from anywhere in anytime. The HEX Group is dedicated to researching and advancing this pervasive computing system, enhancing the mutual perception and continuous evolution of intelligence. This includes research on AI inference and training systems, novel AI algorithms, and new AI hardware.
The research achievements of HEX group have been published in top system and AI conferences, including ASPLOS, ISCA, MobiCom, MobiSys, OSDI, SC, PPoPP, NSDI, ACL, and ICCV. They have also been selected for MobiSys Best Paper, PPoPP Best Paper, ACM SigMobile Research Highlight, and Microsoft Research Focus. Their technologies have been transferred to key products such as Office, Bing, Teams, and Azure.
We welcome students interested in AI systems and algorithm research to join us and conduct research in the following areas:
- Large models inference systems for diverse devices (e.g., mobile devices, robots, IoT devices)
- The ecosystem of intelligent devices, including AI Copilot, Agent, LLM OS, multimodality fusion, etc.
- Large model optimization algorithms (e.g., quantization, sparsity, distillation)
- Design of new hardware for large model inference
- System and algorithm design for scientific computing
Job Responsibilities:
Interns will participate in research projects in various ways, including but not limited to:
- Independently defining and completing a new research topic
- Collaborating with researchers and other interns on a research topic
- Designing and implementing system code
- Contributing to the development and implementation of actual products
- Completing research and summarizing it into scientific papers
Qualifications:
- Major in Computer Science, AI, Software Engineering, Electronic Engineering, or other related fields (Bachelor’s/Master’s/PhD)
- Background in systems and algorithms: AI systems, computer architecture, mobile computing, heterogeneous computing, operating systems, as well as AI algorithm design/ optimization/training, etc.
- Excellent programming skills (e.g., C/C++, Python) or relevant project experience
- Good communication skills and team spirit
- Ability to obtain written consent from a supervisor
Internship Duration Requirements:
Must obtain permission from your academic advisor and commit to at least three months of internship.
Please be sure to download and complete the application form (Application form link: https://aka.ms/InternApplication ) and send it along with a complete English and Chinese resume (in PDF/Word format) to: [email protected] & [email protected] . Please include «Research Intern for Heterogeneous Extreme Computing in the email subject line.
岗位名称：异构计算组研究实习生
工作性质：全职实习生
招聘人数：2-4
工作地点：北京/上海
组别简介：
大模型时代的计算机系统正朝着更大规模、更分布式、更智能化发展，构成云、边、端设备协同的广泛计算平台，人们可以在任意终端更实时地获取智能服务。异构计算组致力于研究和推动这种泛在计算系统的发展， 提升智能的相互感知和不断演进的能力，具体的包括对智能计算系统、算法、和新型硬件的研究。
异构计算组的研究成果发表在包括ASPLOS、ISCA、MobiCom、MobiSys、OSDI、SC、PPoPP、NSDI、ACL、ICCV等系统和算法领域顶会，并被推荐到MobiSys Best Paper、PPoPP Best Paper、ACM SigMobile Research Highlight、Microsoft Research Focus等。技术落地Office、Bing、Teams、Azure等重要产品。
我们欢迎对系统和算法研究感兴趣的同学和我们一起工作，围绕下面的相关研究方向开展研究工作：
- 针对智能设备（如移动设备、机器人、IoT设备等）的模型推理系统
- 智能设备系统生态设计，包括智能Copilot、Agent、操作系统、多模态交互等
- 深度学习算法优化（如量化、稀疏、蒸馏等）
- 针对深度学习模型推理的新型硬件设计
- 针对科学计算的系统和算法设计
工作职责：
实习生将以多种方式参与到研究项目中来，包括但不限于:
- 独立的定义和完成一个新的研究课题
- 与研究员和其他实习生合作完成一个研究课题
- 设计和实现系统代码
- 参与实际产品的研发落地
- 完成研究并总结成科研论文
任职要求：
- 计算机科学、人工智能、软件工程、电子工程或其它相关专业（本科/硕士/博士）
- 系统研究和算法背景：AI系统、计算机系统结构、移动计算、操作系统等，模型算法设计、优化、训练等。
- 具有优秀的编程能力（例如C/C++, Python）或相关的项目经验
- 具有良好的沟通能力和团队协作精神
- 能得到导师的书面同意
工作时间要求：
能获得导师许可并保证至少三个月的实习。
请务必下载并填写申请表（申请表链接：https://aka.ms/InternApplication ）并将其与完整的中英文简历（PDF/Word形式）一同发送至：[email protected] & [email protected]，邮件标题中注明：异构计算组研究实习生。