Staff Engineer, NPU Development
5 months ago
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 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 engineeringRequirements
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 abilitySkill, 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 experienceGood 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 modelsSkill, 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)-
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