At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate
The RoW Central Data Engineering team builds and operates the central data infrastructure backbone for Amazons Rest-of-World (ROW) business operations, serving 5,000+ daily users across 14,000+ dashboards and 70,000+ daily data job runs. We run mission-critical
This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.This position is not available in GPP database. Talent Acquisition team member will fill in the
Job Overview Develop statistical methods sections of protocols and review case report forms (CRFs). Prepare analysis plans and write specifications for analysis files, tables, and figures. Communicate with clients regarding study protocol or statistical analysis issues
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy
We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work
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
高级存储研发专家（AI 训练数据缓存加速方向） 北京 全职 互联网 / 电子 / 网游 - 研发 职位描述 1.主导设计和研发下一代分布式多级分层缓存加速系统，基于 GPU 主机本地内存、NVMe SSD、远端并行文件系统构建大容量弹性扩缩容的多级缓存架构，实现数据按需与透明加速；2.参与设计和研发百 PB 规模的分布式文件缓存系统，支撑自动驾驶、大语言模型等业务的大规模分布式 AI 训练集群；3.设计并实现智能数据放置与生命周期管理策略（如基于访问热度的分层调度、TTL/LRU 淘汰、预取优化），降低 GPU 因存储 I/O 导致的停顿；4.参与研究和落地高性能存储软硬件技术栈，如 GPU Direct Storage、NVMe-oF、RDMA、Burst Buffer 等，持续优化端到端数据通路性能；5.参与元数据管理系统设计，实现高效的路径查找和缓存机制，保证元数据访问延迟在毫秒级。 职位要求 1.本科及以上学历，5 年以上分布式存储系统、缓存系统、文件系统或相关大规模系统软件研发经验；2.熟练掌握 Rust、C/C++、Golang 中至少一种系统编程语言，具备在大型软件项目中应用AI Coding
Company Description About Grab and our workplace Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility,
Mobileye China R&D Center is looking for an AI Algorithm Engineer to join our Perception team and develop advanced machine learning algorithms that enable autonomous vehicles to accurately understand their surroundings. In this role, you will
What You’ll Do Account Management (DTP): Manage DTP requirements for our largest enterprise customers with highly bespoke requirements, requiring in-depth knowledge of the customer and their needs. Quality Management: Oversee account level DTP quality, ensure instructions
毕业时间要求：2026年10月 - 2027年9月之间毕业的应届毕业生 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。 AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to
SummaryAt Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. Do you love problem
Description We’re looking for a Senior Backend JavaScript Developer to join our Web_archive team and help build and evolve a high-throughput data processing platform. You will own distributed data pipelines and backend services end-to-end—from technical design
视频生成算法实习生 (数据) 北京 实习 互联网 / 电子 / 网游 职位描述 负责视频模型研发中，数据 → 模型训练 → 评测 → 迭代 的完整研发链路：1. 视频数据理解、筛选、质量建模与 Data Scaling2. Caption / VLM workflow、多模态数据算法3. OCR / ASR / Detection 等多模态信息融合4. 设计数据策略，并通过 模型训练和 Ablation 直接验证收益5. 参与视频基础模型训练、实验分析和版本迭代
视频生成算法工程师 (数据) 北京 全职 互联网 / 电子 / 网游 职位描述 负责视频模型研发中，数据 → 模型训练 → 评测 → 迭代 的完整研发链路：1. 视频数据理解、筛选、质量建模与 Data Scaling2. Caption / VLM workflow、多模态数据算法3. OCR / ASR / Detection 等多模态信息融合4. 设计数据策略，并通过 模型训练和 Ablation 直接验证收益5. 参与视频基础模型训练、实验分析和版本迭代
高级存储研发高级工程师（AI 训练数据缓存加速方向） 北京 全职 互联网 / 电子 / 网游 - 研发 职位描述 1.主导设计和研发下一代分布式多级分层缓存加速系统，基于 GPU 主机本地内存、NVMe SSD、远端并行文件系统构建大容量弹性扩缩容的多级缓存架构，实现数据按需与透明加速；2.参与设计和研发百 PB 规模的分布式文件缓存系统，支撑自动驾驶、大语言模型等业务的大规模分布式 AI 训练集群；3.设计并实现智能数据放置与生命周期管理策略（如基于访问热度的分层调度、TTL/LRU 淘汰、预取优化），降低 GPU 因存储 I/O 导致的停顿；4.参与研究和落地高性能存储软硬件技术栈，如 GPU Direct Storage、NVMe-oF、RDMA、Burst Buffer 等，持续优化端到端数据通路性能；5.参与元数据管理系统设计，实现高效的路径查找和缓存机制，保证元数据访问延迟在毫秒级。 职位要求 1.本科及以上学历，5 年以上分布式存储系统、缓存系统、文件系统或相关大规模系统软件研发经验；2.熟练掌握 Rust、C/C++、Golang 中至少一种系统编程语言，具备在大型软件项目中应用AI Coding
Job ID 518811 Posted since 19-Aug-2026 Organization Global Business Services Field of work Finance Company Siemens Ltd., China Experience level Mid-level Professional Job type Full-time Work mode Office/Site only Employment type Fixed Term Location(s) Beijing -
The Data Analysis Scientist will support agricultural and biological research through the analysis, interpretation and visualization of complex scientific datasets. The position will apply data-analysis tools and approaches, including AI, Python and R, to analyze multi-omics, population
The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver