中国今日更新的16个ai infrastructure职位机会
个职位
该职位来源于猎聘 方向：AI Platform / MLOps / Cloud + Edge AI 一、使命（What You’ll Help Build）🔥 我们正在构建一套 从云到边缘（Cloud → Edge）的统一 AI 基础设施，支撑： 大规模模型训练（GPU 集群） 大模型（LLM）在线服务 门店与仓储中的实时 AI（CCTV / 机器人 / IoT） 这不是一个传统的 MLOps 平台岗位，而是一个需要解决 多维复杂系统问题的工程挑战： 混合云（Public Cloud + IDC） 大规模算力调度 实时 AI 推理（低延迟 / 高并发 / 边缘部署） Cloud + Edge
At AstraZeneca we’re dedicated to being a Great Place to Work. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas whe
AstraZenecaAt AstraZeneca we’re dedicated to being a Great Place to Work. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas whe
NVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our tea
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in
职位描述 1. 数据 Pipeline 架构设计 与算法团队协作，设计并落地机器人海量异构数据的采集、清洗、处理、存储全链路，构建高吞吐、低延迟的数据 pipeline，支撑算法训练与迭代。 2. 云原生数据平台建设 基于 Kubernetes、Argo Workflows 搭建容器化大数据任务调度与编排平台，负责数据平台稳定性、弹性扩缩容与可观测性建设。 3. AI 工具链研发 围绕数据平台开发面向算法场景的工具链，包括数据管理、数据可视化、任务编排、数据治理等能力，提升算法研发效率。 4. 公有云平台管理与优化 参与公有云平台的架构设计、资源管理与性能优化，负责云侧大数据 / AI 基础设
AppleAt Apple, we believe in hard work, a fun environment, and the creativity and innovation that only comes about when hardworking people from diverse backgrounds approach problems from varying perspectives The people here at Apple don’t just build products — they craft the kind of wonder that’s revolut
职位来源于实习僧。 职责描述： 协助团结引擎的AI推理引擎的研发，包括但不限于：架构设计、算子开发、模型转化，数据处理加速、backend开发，性能优化，测试开发 任职要求： - 2027届毕业生优先考虑，计算机科学相关专业在读 - 一周能出勤4天及以上，能长期稳定实习 - 熟悉至少一种主流的深度学习框架，如Tensorflow或Pytorch；熟悉至少一种主流的模型推理框架，如TensorRT-LLM； - 熟悉CUDA编程，掌握TensorRT、Cutlass、cuDNN等加速库，有内核级优化经验者优先； - 熟练使用Python与C#，具备扎实的工程能力 加分项 - 有大规模的大模型训练
NVIDIANVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our tea
世纪前沿资产 Century Frontier Asset Management*Responsibilities：** Develop AI infrastructure for large-scale model training/inference Optimize GPU orchestration to maximize hardware utilization Build self-service tooling for resource management & diagnostics *Requirements：** Bachelor's, Master's, or PhD degree in Computer Science or Enginee
NVIDIANVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in
Accenture*We Are** The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environment
NVIDIANVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing.
Position Overview As a GPU Specialist Cloud Engineer (CE) within the Oracle Cloud Infrastructure (OCI) Pre-Sales organization, you will serve as the primary technical authority for high-performance computing (HPC) and Artificial Intelligence infrastructure. You are not just a generalist; you are the
Position Overview As a GPU Specialist Cloud Engineer (CE) within the Oracle Cloud Infrastructure (OCI) Pre-Sales organization, you will serve as the primary technical authority for high-performance computing (HPC) and Artificial Intelligence infrastructure. You are not just a generalist; you are the
NVIDIANVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing.
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