基本信息

职位编号:
100016507
工作领域:
Engineering
国家/地区:
中国
省:
北京
市:
北京（Beijing）
日期:
星期三, 12 月 17, 2025
其他工作城市: 
* China

为什么选择联想

联想文化，我们称之为 “We Are Lenovo”（我们，就是联想），其核心是：“说到做到，尽心尽力，成就客户”。

联想集团是一家年收入690亿美元的全球化科技巨头，位列《财富》世界500强第196名，服务遍布全球180个市场数以百万计的客户。为实现“智能，为每一个可能” 的公司愿景，联想在不断夯实全球个人电脑市场冠军地位的基础上，积极构建全栈式的计算能力，现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图，包括个人电脑、工作站、智能手机、平板电脑等终端产品，服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起，共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市（港交所：992）（美国预托证券代号：LNVGY）。

欢迎访问联想官方网站 https://www.lenovo.com，并关注“联想集团”微博及微信公众号等社交媒体官方账号，或关注“联想招聘”公众号，获取联想最新动态。

职位描述和要求:

Job Responsibilities：
1. Design and develop AI local inference code to support large-scale deployment scenarios.
2. Conduct architecture design and implement acceleration solutions for heterogeneous hardware platforms (including iGPU and d-GPU).
3. Optimize inference performance by applying advanced technical methods such as operator fusion, memory bandwidth reduction, quantization, and mixed precision.
4. Engage in device perception algorithm development and LLM performance fine-tuning.
5. Drive technological innovation in inference acceleration algorithms and maintain technical leadership in the field.

Job Requirements：
1. Profound professional knowledge and practical experience in AI local inference code development and large-scale deployment.
2. Solid expertise in architecture design of heterogeneous hardware platforms (iGPU/d-GPU) and hands-on experience in implementing corresponding acceleration solutions.
3. Proficient in applying advanced optimization techniques (operator fusion, memory bandwidth reduction, quantization, mixed precision, etc.) to improve inference performance.
4. Rich experience in device perception algorithm development and LLM performance fine-tuning.
5. Demonstrated ability in technological innovation of inference acceleration algorithms and a track record of maintaining technical leadership.
6. Strong problem-solving skills and the ability to independently tackle technical challenges in related fields.

其他工作城市: 
* China
* China
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