系统内核工程师（Linux Kernel / OS） 北京、上海 社招 全职 研发 - 基础架构 职位描述 我们正在寻找具备深厚 Linux 内核与操作系统工程能力的系统工程师，负责 AI 基础设施中内核层的研发、优化与问题治理。你的工作将覆盖进程调度、内存管理、文件系统、网络协议栈、安全隔离等内核核心子系统，面向大模型训练/推理、AI Agent 执行环境（Sandbox）、大规模集群等真实场景，从 OS 层提供性能、稳定性和安全性的底层支撑。你将参与1. Linux 内核核心子系统研发与优化：围绕进程调度、内存管理、文件系统、块 IO、网络协议栈等方向，分析并解决 AI 基础设施场景下的性能瓶颈，提升系统吞吐与时延表现。2. 内核级安全隔离机制设计与实现：基于 namespace、cgroup、seccomp、capabilities、eBPF、AppArmor/SELinux 等内核机制，构建进程隔离、系统调用过滤、资源访问控制和逃逸防护能力，支撑 Agent Sandbox、容器运行时、多租户环境等场景的安全需求。3. OS 层资源调度与管控：设计和优化面向多任务、多租户、高并发场景的 CPU 调度策略、内存分配与回收机制、IO 调度和网络资源管控，保障大规模工作负载下的资源公平性与隔离性。4. 内核级问题定位与治理：定位并解决复杂的内核级性能、稳定性及兼容性问题，包括死锁、内存泄漏、性能抖动、资源竞争、内核崩溃等，具备从现象到根因的完整排查能力。5. OS
Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support
Company Description Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance
Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: Main Responsibilities SW development on Qualcomm Chips. new feature design, technology investigation, system optimization, code developing and cross team co-work. There
Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: SW development on Qualcomm Chips. new feature design, technology investigation, system optimization, code developing and cross team co-work. There are some
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Software Engineering General Summary: Responsibilities We’re looking for skilled staff or senior engineer to develop audio virtualization drivers on snapdragon SoC based automative products. You will be responsible
NVIDIAs GPUs and Tegra SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of
智驾性能优化工程师 北京、杭州、上海 全职 智能制造 / 工业互联网 / 工业自动化 职位描述 1、负责算法模块全流程的性能profiling，为算法优化方向提出指导；2、对linux服务器、嵌入式系统应用软件性能进行分析，定位软件性能瓶颈；3、维护并开发自研profiling工具。 职位要求 1、本科及以上学历，计算机相关专业，五年以上相关工作经验，精通c语言；2、深入理解Linux内核及操作系统原理, 包括进程调度、内存管理、文件系统、网络协议等；3、熟练使用各种性能分析工具，如 top、vmstat、iostat、sar、perf、strace、dtrace 等，能够进行系统瓶颈分析，识别性能问题的根源，并提出相应的优化方案；4、熟悉crash, OOM, soft/hard lockup, hung task常见问题的分析方法；5、良好的学习能力和强烈的责任心，良好的沟通和团队合作精神。加分项1、perf 等linux工具类 或 kernel 开源社区提交过有质量的补丁。 投递...
机器学习系统工程师（应届） 北京 正式 研发 - 基础架构 职位描述 1、负责构建支撑具身智能体的核心机器学习系统，开发面向机器人场景的VLA大模型训练与推理系统，支撑多模态感知、运动控制、任务规划等核心能力的持续进化；2、研发新一代具身智能系统工具链，涵盖数据采集、仿真训练、物理部署、持续优化全生命周期。 职位要求 1、计算机、人工智能、软件工程等相关专业，硕士及以上学历，2026年毕业； 2、熟练使用C++/Python/Pytorch/CUDA开发生态，具有嵌入式系统开发经验者优先；3、加分项：在以下一个或多个领域有深度实践： a. 大模型训练推理：多模态大模型分布式训练、端上推理加速、Transformer模型优化； b. 高性能计算：GPU Kernel编写，高性能通信（NCCL、RDMA），AI编译器（TVM、Triton），模型量化等； c. 机器人系统：ROS2、运动控制算法、传感器数据处理pipeline。 投递...
AI Infra实习生 北京 实习 研发 - 基础架构 职位描述 1、负责构建支撑具身智能体的核心机器学习系统，开发面向机器人场景的VLA大模型训练与推理系统，支撑多模态感知、运动控制、任务规划等核心能力的持续进化；2、研发新一代具身智能系统工具链，涵盖数据采集、仿真训练、物理部署、持续优化全生命周期。 职位要求 1、计算机、人工智能、软件工程等相关专业，硕士及以上学历，2026年及之后毕业； 2、熟练使用C++/Python/Pytorch/CUDA开发生态，具有嵌入式系统开发经验者优先；3、能至少保障3个月以上的实习时间，每周4天以上出勤；4、加分项：在以下一个或多个领域有深度实践： a. 大模型训练推理：多模态大模型分布式训练、端上推理加速、Transformer模型优化； b. 高性能计算：GPU Kernel编写，高性能通信（NCCL、RDMA），AI编译器（TVM、Triton），模型量化等； c. 机器人系统：ROS2、运动控制算法、传感器数据处理pipeline。 投递...
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Software Engineering General Summary: Role Summary We are seeking a AI solution Software Engineer focused on end-to-end latency optimization across heterogeneous compute IPs (GPU, NPU, ISP, CPU). You
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Software Engineering General Summary: General Summary Qualcomm is leveraging its expertise in wireless and computing technologies to drive a major technological revolution in the automotive industry. Having led
具身智能算法实习生（训练效率方向） 上海 实习 职位描述 1. 参与具身智能训练效率的度量、分析与系统性优化，覆盖预训练与后训练全链路。2. 理解不同模型架构与训练算法的计算特性，参与针对性优化方案的设计与实现。3. 参与训练效率监控体系建设，包括 GPU 利用率、训练吞吐、通信效率等核心指标的可视化与自动化追踪。4. 参与模型训练效率优化：算子融合、CUDA graph、kernel 调优等。5. 参与并行与通信效率优化：梯度同步、云边通信、权重分发等通信开销分析与优化。6. 参与数据加载效率优化：数据预处理 pipeline、IO 吞吐优化。 职位要求 计算机、AI 等相关专业硕士在读或优秀本科生。- 熟悉 Python/C++，有 CUDA 编程经验或 GPU 性能调优兴趣。- 对深度学习模型架构与训练算法有基本理解，愿意深入学习计算特性与优化方法。- 具备良好的工程意识与代码规范。- 实习 3 个月以上优先，能长期实习更佳。加分项- 有 CUDA graph / 算子融合 /
Responsible for full‑stack development and platform engineering of enterprise‑level large language models and AI applications, covering front‑end and back‑end development as well as database design and optimization. Led the end‑to‑end implementation of AI infrastructure and large‑model
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Software Engineering General Summary: Responsibilities We’re looking for skilled senior engineer to develop linux audio drivers on snapdragon SoC based products. You will be responsible for new audio
Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:MBOS Software Architecture & Base Software Gesellschaft:Mercedes-Benz Digital Tech Ltd. Standort:Shanghai, Xingchi Tower, No. 399, Keqiao Road, Jinqiao, Pudong Startdatum:sofort Veröffentlichungsdatum:26.05.2026 Stellennummer:MER0003XSU Arbeitszeit:Vollzeit Bewerben Aufgaben Objective: Lead a small-scale outsourcing engineer
NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry
Key Responsibilities Inference Platform & Optimization: Build and optimize enterprise LLM serving platforms (e.g., vLLM, TensorRT-LLM) using techniques like PagedAttention, continuous batching, and quantization (AWQ/FP8) for high throughput and low latency. GPU Pooling & AI Infra:
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Software Engineering General Summary: As part of the Qualcomm China engineering team focused on Robotics, Drones, Wearable, and Action Camera products, we are looking for a technically strong
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