上海招聘

Responsibilities

Experimentally explore new networking and computing technologies.

Translate cutting-edge networking and computing technologies into the HPC / AI solutions deployed in lab and customer data centers.

Communicate and collaborate with industry and academia developers to implement state-of-the-art networking and computing technology.

Integrate HPC / AI / Cloud / Storage infrastructure together with networking and computing technologies into a fully operational HPC-AI environment and test application best practice.

Contribute to the consultative design, validation, implementation and operation of RDMA-based in-network computing applications and clusters.

 

Essential Skills

Familiar with C/C++, Python.

Have experience in HPC or AI or Storage.

Good English communication skills.

 

Desirable Skills

Experience in developing RDMA and GPU / In-Memory / parallel computing applications is a big plus.

Experience in using and developing AI frameworks, implementing and designing AI models is a big plus.

Experience with HPC / AI / Cloud / In-Memory Big Data infrastructure and architecture.

Experience with HPC/AI cluster management and application management.

Container and cloud skills (OpenStack, K8S, Docker, Singularity, etc.)

Computer architecture and Linux OS knowledge.

Ethernet knowledge and experience.

Scripting (Shell/Perl)

NVIDIA—AI计算公司中的领导者
我们定义了现代计算机图形
我们拥有世界第 一大游戏平台GEFORCE
我们助力世界上运行速度最快的超级计算机
1999年，从行业第 一个图形处理单元（GPU）GeForce 256开始，我们始终深耕技术，寻求创新和突破。最新的NVIDIA A100 GPU更是搭载全球***的7纳米处理器NVIDIA Ampere GPU架构问世，实现了迄今为止***的GPU性能飞跃。
这是每一位NVIDIA工程师的匠人之心。
我们从图形计算起航，拥抱AI和加速计算的浪潮，为当代达·芬奇和爱因斯坦打造专属计算机，帮助他们看见并创造未来。
这是NVIDIA工程师团队开辟的创新之路。
我们看到超级计算的适用范围正在迅速扩展，未来全球信息经济的重心将从服务器转移到新型的强大且灵活的数据中心。以数据中心为计算单元的新时代已经来临。
我们感知到身边越来越多的事物可以是智能的、云连接的，并且基于一个可以为几乎每个行业构建富有想象力的服务的平台。万物智能的变革已经开始。
我们已经开始加速从芯片到CPU和GPU的连接方式，更希望与你一起将其推及至整个软件堆栈，最终实现跨数据中心的性能提升。
加入我们！让我们一起推动高性能计算的下一个时代，让我们在关乎世界却只有我们能把握的棘手新机遇中并肩前行！