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
NVIDIA Deep Learning Institute (DLI) enables developers to build practical, real-world skills across Agentic AI, Physical/Industrial AI, and AI Factories through diverse hands-on training and industry-recognized certification, driving the growth of a global AI-ready workforce and accelerating AI adoption across industries. We
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 our
【校招实习】AI Infra工程师 北京 实习 互联网 / 电子 / 网游 - 研发 千寻智能2027届校招实习招聘项目 职位描述 1、负责具身智能大模型千卡大规模训练系统性能优化及MFU优化。2、负责多模态大模型(VLM)在云端的高性能分布式推理系统设计、开发与全链路端到端部署。3、负责具身智能VLA模型在端侧的推理系统的研发和模型加速算法研究。 职位要求 1、熟悉GPU体系结构,熟练掌握CUDA/triton,熟练掌握C++或Python语言。2、深入了解PyTorch等深度学习框架的架构和运行原理,深入理解大模型训练多维并行架构,如Tensor并行、流水线并行、序列并行等。3、深入理解多模态模型结构,如ViT、DiT等,了解开源多模态大模型结构,如qwen-vl、llama等。4、熟悉至少一种主流开源推理引擎(如 vLLM、SGLang、TensorRT-LLM、Nvidia Dynamo等)的底层机制与源码魔改。5、熟悉量化、剪枝、蒸馏、投机推理、步数蒸馏等前沿推理加速及模型小型化技术方案。 投递...
We are now looking for a Software Development Engineer to help TensorRT LLM and TensorRT Edge LLM projects! NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs
We are now looking for a Senior AI Training Performance Engineer! NVIDIA is seeking senior engineers who are obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, one of the
Were looking for outstanding AI systems software engineers to develop groundbreaking technologies across the inference systems software stack. Our team builds core AI systems software that accelerates high-impact workloads on NVIDIA GPUs, from deep learning primitives and kernel libraries
优才-训练AI Infra系统优化工程师-中央研发部 上海、北京 正式 职位描述 1. 大规模分布式训练系统:在千卡级GPU/NPU集群上构建稳定、高效的分布式训练系统,支持VLA、WM等具身大模型的预训练与微调;2. 训练数据加载流水线:构建从存储到GPU/NPU显存的高吞吐数据流水线,实现高效的数据预取、采样与加载,消除训练过程中的I/O Stall;3. 训练稳定性保障:解决大规模训练中的故障恢复、Checkpoint 管理、梯度异常等问题,确保长时间训练任务的稳定运行。 职位要求 1.熟练掌握C/C++/Python/Go至少一种编程语言,具备CUDA/OpenCL/CANN优化经验; 2. 熟悉PyTorch 分布式训练机制(DDP/FSDP),熟悉DeepSpeed或Megatron-LM等大规模训练框架的原理与使用;3. 熟悉并行策略:深入理解 多维并行(DP/TP/PP/EP/CP等)的实现原理与适用场景,能够根据模型特点设计最优并行策略;4. 具备性能分析与调优能力:熟练使用 PyTorch Profiler、NVIDIA Nsight 等工具进行性能分析,能够定位并解决计算、通信、I/O 瓶颈;5. 深刻理解典型预训练、持续训练、RL训练等算法原理以及在技术实现时软硬件系统层面挑战 投递...
NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure
Today, NVIDIA is harnessing the limitless potential of AI to define the next era of computing. Achieving what has never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll join a diverse,
We are looking for a networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. What
AI系统方案架构师 上海 全职 芯片板块 职位描述 岗位职责:1、跟踪行业最新技术动态,为公司的AI芯片技术发展提供前瞻性的建议和技术储备;2、跟踪GPGPU/NPU行业最新动态、产品与技术架构,分析公司内外部业务系统需求,结合自研芯片架构,输出系统软硬件协同设计方案;3、负责组织硬件平台、软件平台、生态平台等AI组件的SE专家,一起协同工作交付有竞争力的AI整体系统方案,并指导开发团队完成方案的开发交付落地;4、推理基础设施方案设计,针对产品业务场景,优化模型在边缘设备(自研芯片平台、Jetson、机器人嵌入式系统)的部署性能,实现模型量化、动态计算图裁剪、异构硬件(GPU/NPU/FPGA)适配等关键技术; 职位要求 任职要求:1、5年以上人工智能系统架构设计经验,对于人工智能的应用和整体架构有深入研究;2、有GPGPU/NPU芯片项目研发经验,熟悉Nvidia/AMD或国产厂家 GPU计算产品,熟悉CUDA/ROCm等GPU软件栈;3、深入理解AI大模型训推原理,精通至少一种深度学习框架,如TensorFlow或PyTorch;4、具有强大的领导力和工程技术技能,能够领导团队并实现交付; 加分项:1、熟悉CUDA编程,熟悉AI框架,对一种或者多种网络模型结构有深入理解;2、擅长跨团队沟通交流协作,有项目或团队管理经验;3、能够深度剖析任意一个大模型的训练和推理的数学过程;4、拥有云系统或数据中心基础设施部署和优化的专业知识; 投递...
AI芯片模型部署专家 上海 全职 芯片板块 职位描述 1、负责将复杂的AI模型优化并部署到端侧硬件平台,比如NVIDIA等系列(包括Orin、Xavier、Nano等)。2、优化模型以满足实时处理的需求,并确保在资源受限的设备上高效运行。3、负责实现优化模型中部分算子实现,使其在合适的平台(CPU/GPU/DSP等)部署运行,提升模型效率。4、参与跨部门项目,确保技术解决方案满足业务需求。5、持续跟踪最新的AI研究进展,并评估其在端侧部署中的可行性。6、编写技术文档,包括部署指南、性能评估报告和故障排除手册等。 职位要求 1、计算机科学、电子工程或相关领域硕士及以上学位。2、至少3年的端侧AI模型部署经验,对模型压缩、量化等有深入理解。3. 熟悉NVIDIA Jetson系列硬件平台,以及NVIDIA工具链(如TensorRT、NVIDIA DALI等)者优先。4、精通至少一种深度学习框架,如TensorFlow或PyTorch。5、掌握至少一种深度学习端侧推理框架,如onnx runtime或ncnn.6、有机器人、自动驾驶等感知算法开发经验者优先。7、良好的编程能力,熟练使用C/C++、Python等语言。 投递...
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
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
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
About AstraZeneca At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift
图形子系统总架构师 北京 社招 全职 职位 ID:A177261 职位描述 1. 主导OS级图形子系统整体架构设计,涵盖渲染引擎、 显示驱动、图形API(如Vulkan/OpenGL/自研API),定义架构规范、技术标准与接口协议。2. 负责Xiaomi HyperOS图形相关架构(含联合渲染、渲染管线、视窗绘制引擎等)设计与优化,保障渲染高效率,兼顾画质、性能与功耗平衡,追求极致用户体验。3. 牵头攻克图形子系统核心技术难题,突破渲染性能、资源能效、多端协同等关键技术瓶颈,构建核心技术壁垒。4. 深度对接底层芯片团队,制定图形子系统与GPU/NPU等芯片的软硬融合方案,优化指令调度、显存管理、算力分配逻辑,最大化释放芯片图形处理潜能。5. 主导图形子系统技术文档体系搭建,制定图形子系统中长期技术规划与落地路线图,推动架构迭代与技术升级。6. 跟踪全球OS图形技术与芯片领域前沿动态(如硬件加速渲染新方案、光追技术落地、AI图形优化等),结合实际需求引入创新技术,保持架构技术先进性。 职位要求 1. 教育背景:计算机科学与技术、软件工程、电子信息工程(芯片方向优先)等相关专业硕士及以上学历,博士优先。2. 工作经验:15年以上技术研发经验,其中8年以上OS级图形子系统架构设计经验,3年以上图形子系统与底层芯片(GPU/NPU等)软硬融合优化经验,具备至少1个从0到1的OS级图形子系统架构落地案例。3. 核心技能: - 精通OS级图形子系统核心原理,深入理解渲染管线、compositor、图形API设计,熟悉图形图像处理技术和Skia、OpenGL、Vulkan渲染技术; - 熟练掌握C/C++编程语言,具备扎实的汇编、编译原理基础,深入理解GPU架构与工作机制,熟悉至少一种主流GPU(如ARM Mali/AMD/NVIDIA/自研GPU)的驱动开发与优化逻辑。 - 熟悉图形渲染优化技术,具备低延迟、高帧率、低功耗等场景的图形系统优化实战经验,了解VR/AR、多屏协同等场景的图形技术适配方案。 - 具备丰富的软硬融合设计经验,能独立主导图形子系统与芯片的接口定义、协同优化,有与芯片团队联合攻关的成功案例者优先。4. 能力要求:具备极强的系统思维、架构设计能力与技术攻关能力,能精准定位并解决图形子系统与OS内核、底层芯片融合的核心问题;具备优秀的团队管理、跨部门协作与项目统筹能力;具备出色的技术文档撰写与方案宣讲能力。5. 其他要求:对图形技术与软硬融合有极致追求,有强烈的创新意识与探索欲,能适应复杂项目的高强度挑战,具备高度的责任心。 投递...
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and
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 our