赵女士
英伟达半导体科技(上海)有限公司·HR
本周
上次在线
49%
反馈率
50天
处理时长
在招职位 (2)
高性能计算
25-60K * 13薪
上海
本科
岗位职责
工作方向为加速计算,部门主要工作内容为GNN加速、推理加速、性能仿真/预测等。欢迎对高性能计算、系统设计、加速训练等方向感兴趣的同学投递简历。日常工作内容包括但是不限于
1. 针对架构和算法特征开发和优化CUDA核函数代码
2. 对深度学习框架进行优化,包括系统设计,并行算法,网络通信等方面
3. 对常见的深度学习workload建模,评估或预测在各种环境下的运行时间
4. GNN相关的优化,例如从图划分、采样、以及embedding存储相关角度进行的优化
岗位要求
职位需求是对AI/DL技术有一定了解,包括但不限于算法优化、推理加速、并行计算、性能仿真、以及其他HPC方向,最好比较熟悉C++,接触过CUDA,或有一些系统优化方面的经验。
岗位亮点
额外还有英伟达股票,ESPP
这个岗位可以base北京或者上海
申请
GPU加速
25-50K * 13薪
上海
本科
岗位职责
We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. What you’ll be doing: Develop highly optimized deep learning kernels for inference Do performance optimization, analysis, and tuning Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions Occasionally travel to conferences and customers for technical consultation and training
岗位要求
What we need to see: Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) SW Agile skills helpful Excellent C/C++ programming and software design skills Python experience a plus Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU GPU programming experience (CUDA or OpenCL) desired 5+ years of relevant work experience
岗位亮点
有相关经验都可以试试,经验不限
申请

硬件 已上市 北京 上海 深圳
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