The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIAs strength is to innovate in the graphics and parallel computing fields delivering
At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of
A key part of NVIDIAs strength is our sophisticated development tools and modelling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI —
Minimum qualifications: Bachelors degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in developing and deploying models
Super Sparks-校招-AI推理引擎算法工程师 北京、上海 校招 正式 数字技术 - 算法 博士及以上 Super Sparks 招聘计划 职位 ID：A169287 职位描述 1. 参与大模型推理引擎的设计和研发，支撑自研以及开源模型的快速部署和高性能推理；2. 通过各种技术手段持续优化性能，降低推理成本，包括但不限于:算子/编译优化、异构推理、分布式并行等；3. 学习并应用业界前沿的推理优化技术，KV Cache优化、模型量化(Quantization)、剪枝(Pruning)，跨机分布式推理优化等；4. 对 Transformer 架构及主流大模型(如GPT、Llama、Qwen等)的推理特性有基本理解，了解大模型推理的基本流程和常见挑战(如延迟、吞吐、内存占用)；5. 在资深工程师指导下，参与优化内存管理、计算资源分配与调度策略，提升模型推理速度和资源利用率。学习并使用性能分析工具(如Nvidia Nsight)进行瓶颈定位和优化。 职位要求 1. 熟练掌握 C++ 和 Python 编程语言，具备扎实的数据结构、算法和操作系统基础熟悉至少一种主流的深度学习框架(如 PyTorch、TensorFlow)，了解其基本实现原理了解GPU编程(如 CUDA)或并行计算，有相关的课程项目或实验经验；2. 有开源大模型推理框架(vllm/sglang/trt-llm)使用和优化经验者优先;3. 有cuda或triton开发优化gpu算子经验者优先；4. 有NVIDIA 等算力芯片优化经验者优先。 投递...
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are,
The NVIDIA GPU clocks group is looking for an excellent Senior ASIC Design Engineer to join the team. The Team is responsible for crafting all aspects of GPU clocking. We collaborate with the frontend design team to understand the
Company: Qualcomm China Job Area:Sales, Business Development & Marketing Group, Sales, Business Development & Marketing Group Product Marketing - SIP General Summary: Qualcomm is a leading supplier of chipset platforms for automotive infotainment. In this role,
具身智能-运动智能体 深圳、上海 社招 全职 智能制造 / 工业互联网 / 工业自动化 - 研发 职位描述 【具身端到端规划算法工程师/资深/专家/TL】（深圳/上海/北京）岗位职责：1. 负责研发基于深度学习的四足/人形等机器人的全身状态规划控制，实现灵活自然的动态环境的避障和通过2. 设计实现鲁棒高效的 感知-规划-控制 端到端方案，实现鲁棒高效精准的机器人动作规划3. 设计构建模型训练数据集和标注方法，支持大批量自动化的标注构建4. 应用模仿学习，在/离线强化学习进行模型训练提升模型性能，开发高效的模型评测方法提高迭代效率5. 解决模型评测/部署/真机测试中遇到的问题，满足项目交付指标要求6. 跟踪前沿技术方案，持续迭代升级方案 岗位要求：满足3条及以上1. 人工智能、计算机、机器人、自动驾驶、控制等相关专业硕士或博士学位2. 熟练掌握主流深度学习的时序规划方法如transformer，生成式方法 diffusion policy，掌握主流端到端架构方案如BEV-tranformer/diffusion架构。3. 熟悉基于采样/搜索/优化的决策规划算法，熟悉机器人全身控制。4. 具有模仿学习或强化学习训练经验，熟悉PPO/GRPO/DPO等5. 有实际的端到端系统开发经验，如智能驾驶的E2E。6. 熟练使用PyTorch/TensorFlow深度学习框架，熟练使用Python/C++语言编程，有实际项目开发经验7. 熟悉机器人常用开发环境Mojuco/NVIDIA Isaac/gazebo，有 ROS2/DDS下的开发经验，，能够在Linux环境下独立进行开发和调试； 加分项：8. 有智能驾驶/机器人领域的工程落地经验者优先9. 在机器人顶会（SR/IJRR/TRO/RSS/ICRA/IROS等）或AI顶会（CVPR/NeurIPS/ICML/ICLR等）发表论文者优先 【具身运动控制算法工程师/资深/专家/TL】（深圳/上海）职位描述1.
机器人专项-软件系统方向 深圳、上海、杭州 社招 全职 智能制造 / 工业互联网 / 工业自动化 职位描述 1.开发并优化机器人通信中间件（ROS 2/DDS），提升节点通信效率，降低延迟。2.部署大模型（VLA/LLM）到机器人端侧硬件（如NVIDIA ORIN、地平线），优化推理速度。3.设计低延迟通信接口，连接模型服务与机器人控制系统（如导航、人机交互）。4.优化系统资源调度（CPU/GPU/内存），确保实时性和稳定性。 职位要求 1.熟练掌握 C++/Python，有 Rust 经验更佳。2.熟悉 ROS 2/DDS 或 深度学习推理优化（TensorRT/ONNX Runtime）。3.了解 Linux 系统调优（内核参数、实时调度）或 模型量化部署（INT8/FP16）。4.有机器人/自动驾驶 相关开发经验者优先。 投递...
MLOps工程师 - 模型部署 上海 全职 算法类 职位描述 1. 负责机器学习模型的生产化部署、上线及运维，确保模型服务的高可用性和低延迟2. 设计并实现模型训练到部署的自动化流水线（CI/CD），提升模型迭代效率3. 搭建和维护模型监控体系，实时追踪模型性能、数据漂移及业务指标4. 编写高效、可复用的Python脚本，实现数据预处理、特征工程、模型推理等流程的自动化5. 优化模型推理性能，包括模型量化、剪枝、蒸馏及GPU/CPU资源调度6. 与算法团队紧密协作，将研究成果转化为稳定、可扩展的生产系统 职位要求 1. 模型部署经验：熟悉至少一种主流模型部署框架（如NVIDIA-TensorRT, ONNX Runtime, Qualcomm QNN, Horizon OpenExplorer等），有大规模模型服务化实战经验2. Python脚本能力：精通Python编程，能够独立编写高质量、可维护的自动化脚本，熟悉常见库（FastAPI/Flask、Celery、Pandas、NumPy等）3. 熟悉容器化技术（Docker、Kubernetes），具备云原生环境（AWS/GCP/Azure/阿里云）下的ML系统搭建经验4. 了解MLOps工具链（如MLflow、Kubeflow、Airflow、DVC等），有端到端ML Pipeline构建经验5. 掌握模型版本管理、A/B测试、灰度发布等工程实践6. 具备良好的工程素养，熟悉Git、Linux、Shell脚本及基础网络知识 投递...
NVIDIAs Performance Lab (PerfLab) builds the systems and automation used to evaluate the performance and quality of accelerated computing and AI workloads. We turn complex benchmark experiments into reliable, scalable, and reproducible workflows that help engineering teams
We are now looking for an ASIC Top Floorplan Design Engineer. NVIDIA is seeking a talented ASIC Floorplan Engineer to design and implement the world’s leading SoCs and GPUs. This position offers you a unique opportunity to craft
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We are building the behavior foundation models for humanoid robots. As a Full-Stack Engineer for Humanoid Whole-Body Control and Loco-manipulation, you will help train large-scale controllers and use the controller as a reliable behavior foundation on
We are now seeking a Senior Managed Runtime Compiler Engineer with strong performance engineering, compiler, virtual machine, interpreter, and runtime experience to join our Compiler Team. We craft compiler and runtime technology that realize the potential
NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. We are well positioned as the “AI Computing Company”, and our GPUs are the brains
We’re looking for an Autonomous Vehicle Performance Architecture Engineer. NVIDIA MMPLEX PVA team is designing the state-of-art programmable vision accelerator (PVA) which targets the automotive and robotic area. We are responsible for the architecture modeling, designing and
NVIDIA is seeking a passionate, world-class software engineer to join its Compute Developer Technology team(DevTech). Our team has over 150 engineers across Beijing, Shanghai, Shenzhen, Taipei, Seoul, and Sydney. We understand algorithms, GPU, and real-world applications. Our mission