北京(Beijing), Beijing, China
3 days ago
异构计算研究员
General Information Req # WD00073526 Career area: Research/Development Country/Region: China State: Beijing City: 北京(Beijing) Date: Thursday, October 17, 2024 Working time: Full-time Additional Locations:  * China - Beijing - 北京(Beijing) 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. Description and Requirements

岗位职责:
1. 结合集群拓扑与GPU架构特点、分析AI任务性能瓶颈并进行优化
2. 提升大模型训练效率,包含并行策略优化、集合通信加速、大模型容错训练等
3. 负责国产异构硬件软件栈适配、异构资源调度与管理,以及提升模型训练数据加载性能等

岗位要求:
1. 全日制硕士以上学历,计算机科学与技术、人工智能等相关专业;
2. 拥有良好的C/C++、Python等编程能力,熟悉数据结构以及计算机系统架构,有良好的工程实现能力;
3. 熟悉CUDA和Nvidia GPU架构,有算子开发和性能优化项目经验
4. 至少熟练一种AI框架(PyTorch / TensorFlow /Paddle),了解其底层性能优化原理和实现;
5. 熟练掌握深度学习原理与常见优化算法,有模型训练和推理相关项目背景尤佳;
6. 具有良好的沟通与解决问题能力;

加分项:
1. 了解国产AI硬件工具链,有性能优化相关经历;
2. 了解Kubernetes资源编排系统,以及模型训练数据加载相关优化技术;
3. 在AI或者HPC领域发表过高水平论文。

Additional Locations:  * China - Beijing - 北京(Beijing) * China * China - Beijing * China - Beijing - 北京(Beijing)
Confirm your E-mail: Send Email