基本信息

职位编号:
WD00071861
工作领域:
Hardware Engineering
国家/地区:
中国
省:
天津
市:
天津(Tianjin)
日期:
星期四, 9 月 19, 2024
工作性质:
Full-time
其他工作城市
* China - Tianjin - 天津(Tianjin)

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569亿美元的全球化科技巨头,位列《财富》世界500强第248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:


Roles and responsibilities

Lenovo Research (LR) is the R&D division of Lenovo and has always been committed to pushing forward the development of information technology, smart devices, and services, keeping delivering cutting-edge technologies that have been built into Lenovo’s high-tech products and services.

This position is to work as an NPU inference engineer in a team of PC Innovation and Ecosystem (PCIE) Lab, research industry architecture and develop Lenovo universal inference platform to support all Lenovo models and dNPU hardware.

We are looking for a passionate candidate who is experience in dNPU tools chain and model structure.

Role and Responsibility

  • Responsible for the research and development of AI algorithms, including but not limited to deep learning, machine learning, natural language processing and other related algorithms.
  • Participate in the requirement analysis and decomposition of the reasoning system and cooperate with the architecture team to gradually improve the hardware and software architecture.
  • According to project requirements, familiar with the corresponding algorithm model, and optimize and improve it.
  • Responsible for writing and maintaining relevant technical documents

Key Interaction with:

  • Lenovo Research in Beijing – software, system research
  • Lenovo Research in Tianjin – software, system research
  • Lenovo Research in Shenzhen – hardware development, electronical engineering

Requirements

Must Have – essential

Experience

  • MSc or PhD in computer/information science, electronics engineering, or a related field
  • 8+ years’ R&D experience in model inference
  • Excellent problem analysis and solution ability

Skill, Competency

  • Basic and advanced computer vision algorithm design
  • Written communication skills in business English for efficient communication with team
  • Basic English communication skills
  • C/C++, Python and other programming languages, with good programming habits and code norms.
  • Linux/Windows platform development experience

Good to have - desirable

Experience

  • Experience of collaborating with other researchers or engineers in a global work environment
  • Experience of solving problems in the inference of various models

Skill, Competency

  • Experience with machine learning, deep learning frameworks like ONNX, GGML, OpenVINO, Tensorflow, PyTorch
  • Experience with model optimization like model fixed-point quantization, sparse computing
  • Experience with OpenCL, DirectML, CUDA code on GPU, NPU or FPGA
  • Experience with AI algorithms and models, such as Transformer, CNN, SD, LAM

其他工作城市
* China - Tianjin - 天津(Tianjin)
* China - Tianjin - 天津(Tianjin)
* China - Tianjin
* China