NVIDIA is a world‑leading, fast‑growing AI computing company, delivering everything from the most powerful GPU‑accelerated supercomputers to gigawatt‑scale AI data centers. We build and optimize end‑to‑end GPU server platforms that combine accelerated computing, high‑performance networking, and software to
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
AI运维工程师 北京 全职 互联网 / 电子 / 网游 职位描述 职位描述1.负责公司IDC、公有云（火山云/腾讯云等）的规划、部署、监控与优化，保障业务高可用性（SLA ≥ 99.9%）；2.负责管理公司GPU集群，调配训练平台资源；3.设计并实施自动化运维体系（Ansible/Terraform/Jenkins等），提升系统部署、监控告警、故障处理效率；4.维护大规模Linux服务器集群（CentOS/Ubuntu）、Kubernetes/Docker容器平台及中间件（Nginx/MySQL/Redis等）、大规模数据存储；5.建立全链路监控体系（Zabbix/Prometheus/Grafana），实时分析系统性能瓶颈，预防潜在风险；6.制定并执行容灾备份、安全加固及合规策略，响应安全事件；7.编写运维文档及技术方案，推动DevOps文化落地； 职位要求 职位要求硬性条件：1.本科及以上学历，计算机/通信相关专业，3年以上人工智能科技公司运维经验；2.具备GPU集群管理经验，了解ROS/ROS2生态；3.精通Linux系统管理、Shell/Python脚本开发，熟悉TCP/IP、HTTP等网络协议；4.熟练使用至少一种公有云（火山云/腾讯云/阿里云），有PB级存储搭建经验，具备云资源编排及成本优化经验；5.掌握容器化技术（Docker/K8s）及CI/CD工具链（GitLab/Jenkins）；6.熟悉监控日志系统（ELK/Prometheus）及自动化运维工具（Ansible/SaltStack）。加分项：1.有高并发、分布式系统运维经验者优先；2.熟悉网络安全防护（WAF/防火墙/漏洞扫描）；3.持有AWS/AliCloud/K8s认证证书；4.有大模型相关基础设施搭建经验；5.了解Infrastructure as Code（IaC）实践。。 投递...
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and theyre not AI-native. Our mission is to build proactive applications for anyone in the world, who are
Who Are We? RZR is an AI-native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to
NVIDIA is looking for a Senior Solutions Architecture and drive cross-functional execution for complex customer engagements. This role operates at the intersection of solutions architects, engineering, operations, and project teams to help ensure successful stability and
NVIDIA’s Solution Architect team is looking for an AI-focused Solutions Architect specializing in Agentic AI inference. We work with the most advanced computing hardware and software, driving the latest breakthroughs in artificial intelligence. As AI applications
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the
NVIDIA is looking for an enthusiastic and forward-thinking solution architect to help in the enablement of Industry Software Vendors (ISVs). These ISVs are developing the Agentic AI stack for multiply workloads which will be used to
About the Opportunity Personal Connect is recruiting a Senior Confidential Computing Infrastructure Engineer on behalf of an innovative technology company in Beijing. This is a highly specialized infrastructure engineering position focused on building secure environments for large-scale AI