Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: Conduct research on practical algorithms such as embodied multimodal (VLA) and reinforcement learning based on mobile robotic arms and humanoid robot platforms,
Research Engineer 深圳、上海、北京、中国香港 全职 智能机器人板块 职位描述 面向机器人真实场景，构建面向真实世界场景的下一代智能体系统。包括具身多模态大模型的大规模训练性能，工程化与规模化落地，端侧与异构部署加速，机器人系统集成。与算法、硬件及测试团队紧密协作，推动大模型与机器人感知、决策、控制模块的深度集成与系统级优化。 职位要求 1、计算机、电子工程、人工智能等相关领域硕士及以上学历；2、具有丰富的模型工程/训练平台经验，熟悉大规模训练栈：大规模训练加速，训练观测与剖析；3、具备推理与端侧异构部署加速经验（TensorRT/ONNX 等），推理与服务框架、容器与编排（Docker/K8s）、服务化与可观测性体系；4、精通 Python/C++ 与 Linux/网络/性能分析；熟悉 PyTorch/TensorFlow 至少一种；5、良好的跨团队沟通协作与项目推进能力，能在研究‑工程‑平台多方之间对齐目标与节奏。加分项：1 、熟悉 CUDA 编程、GPU 内存管理及并行计算优化，有基座模型Infra经验，或者知名开源训练框架项目的核心贡献者；2、有在 NVIDIA Orin、Thor 等车载 SoC 上部署大模型或复杂 AI 系统的经验；有机器人开发经验（ROS/ROS2、传感器/外设接入）；3、对具身智能（Embodied AI）、多模态大模型与机器人交互有浓厚兴趣或项目经验；4、具有优秀的代码能力，如ACM/ICPC、NOI/IOl、Top Coder、Kaggle等比赛获奖者； 投递...
Research Engineer 深圳、上海、北京、中国香港 全职 智能机器人板块 职位描述 1、面向机器人真实场景，负责具身多模态大模型的工程化与规模化落地，包括大规模训练性能与效果优化，模型工程化与效果优化，端侧与异构部署加速，机器人系统集成。 职位要求 1、计算机、电子工程、人工智能等相关领域硕士及以上学历；2、具有丰富的模型工程/训练平台/部署经验，熟悉大规模训练栈：大规模训练加速，训练观测与剖析，推理加速与压缩，端侧与异构部署加速，推理与服务框架等；3、精通 Python/C++ 与 Linux/网络/性能分析；熟悉 PyTorch/TensorFlow 至少一种；4、具备推理与端侧部署经验（TensorRT/ONNX 等）、容器与编排（Docker/K8s）、服务化与可观测性体系；5、良好的跨团队沟通协作与项目推进能力，能在研究‑工程‑平台多方之间对齐目标与节奏。加分项1、计算机、电子工程、人工智能、机器人等相关领域博士学历；2、有基座模型Infra经验，或者知名开源训练框架项目的核心贡献者; 有机器人开发经验（ROS/ROS2、传感器/外设接入）；3、具有优秀的代码能力，如ACM/ICPC、NOI/IOl、Top Coder、Kaggle等比赛获奖者；4、具备解决复杂问题的经验，并能比较各种解决方案，并根据不同的视角确定前进方向。 投递...
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Are you an enthusiastic individual ready to join a team as a Solutions Engineer? Would you love to bridges the gap between customer needs and technical solutions, and drives and close sales opportunities across designated regions or
Build up corresponding automation capability for business Research global automation benchmark of each product portfolio Develop automation solution to new technology application in front of business award Lead and guide to build up China local supplier capability
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Are you an enthusiastic individual ready to join a team as a Solutions Engineer? Would you love to bridges the gap between customer needs and technical solutions, and drives and close sales opportunities across designated regions or
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Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to
Job Group Capability Research Job Group Research Job Role Description The Process Development Engineer - Advanced role is responsible for taking a new process concept and developing it into a practical, viable commercial process configuration commensurate with business strategy.
Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: Main Responsibilities 1.Own the research, prototyping, and engineering deployment of advanced graphics, game engine, and game AI–related algorithms. 2.Drive development, integration, and
Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: 1. Participate the research of GPU AI acceleration with Adreno GPU specific features on Qualcomm Snapdragon platform. 2. Participate in the research and
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: Job Description About us: We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action –
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Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: Summary Qualcomms Multimedia R&D Group is seeking passionate candidates for its Computer Vision R&D team in Shanghai, PRC. The team develops advanced algorithms,
Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: Main ResponsibilitiesOption 1 (Agentic AI) 1.1. Explore the application of VLM/LLM-based agents in the field of humanoid robotics. 1.2. Explore Multimodal