Req #

WD00071861

Career area:

Hardware Engineering

Country/Region:

China

State:

Tianjin

City:

天津（Tianjin）

Date:

Thursday, September 19, 2024

Working time:

Full-time

Additional Locations:

• China - Tianjin - 天津（Tianjin）

• 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 d NPU hardware.
We are looking for a passionate candidate who is experience in d NPU 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 Ph D 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, Open VINO, Tensorflow, Py Torch
• Experience with model optimization like model fixed-point quantization, sparse computing
• Experience with Open CL, Direct ML, 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）