Job Information
Lenovo Staff Engineer, NPU Development in Tianjin, China
Staff Engineer, NPU Development
General Information
Req #
WD00069240
Career area:
Hardware Engineering
Country/Region:
China
State:
Tianjin
City:
天津（Tianjin）
Date:
Wednesday, August 7, 2024
Working time:
Full-time
Additional Locations :
- China - Tianjin - 天津（Tianjin）
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub (https://news.lenovo.com/) .
Description and Requirements
Title: SW Researcher
Location: Tianjin
Employment Type: Regular
People Management: Not Required
Position Description
■ Roles and responsibilities
Lenovo Research (LR) is the R&D division of Lenovo and hasalways 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 isexperience 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
3+ 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
Additional Locations :
China - Tianjin - 天津（Tianjin）
China
China - Tianjin
China - Tianjin - 天津（Tianjin）