Job Overview Provide support to the Project Manager and related team members by performing routine procedures and tasks associated with the day to day running of projects throughout the entire study lifecycle (e.g. start-up, maintenance and
NVIDIA are seeking Solution Architects with specialized expertise in training and deploying Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and
Join NVIDIA’s Cosmos Lab Infrastructure team to develop training and post-training systems for advanced Physical AI models, including world foundation models and robot policies. Our infrastructure connects training, inference, and evaluation with simulation and real-world robot interaction.
Key Responsibilities As an AI Scientist/Senior Scientist, you will: Design, develop, benchmark, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models, structure prediction models, de novo design algorithms,
Job Overview: The Project Specialist will work alongside the Project Manager, or equivalent, in the delivery of the contracted tasks and responsibilities, as outlined in the project’s scope of work and contract. The Project Specialist will
Position Summary Lead an engineering team in the product development process of transfer case (or related product ) mechanical hardware for customer 4WD applications. This includes the development of the initial proposal based on known customer
Key responsibilities The Cloud and Data Engineer will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&D units across Novo Nordisk, both on-premises and in
The International Potato Center (CIP) is seeking one Senior Research Associate - Molecular Breeder to provide impact in the discovery andapplication of molecular techniques that support trait selection and geneticenhancement of potato and sweet potato. Also,
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,
When our values align, theres no limit to what we can achieve. At Parexel, we all share the same goal - to improve the worlds health. From clinical trials to regulatory, consulting, and market access, every
岗位使命 围绕 Kimi 的长期技术与商业战略，发现、判断、吸引并组织少数真正重要的人才，让人才密度成为公司的核心竞争优势。 你需要深入研究、工程、产品和商业一线，理解业务正在解决的问题，与负责人共同定义“真正需要什么样的人”，并独立负责从人才地图、主动寻访、评估判断，到候选人关系、Offer 设计、入职融入和组织反馈的完整闭环。 你既是招聘者，也是业务合伙人、人才投资人和组织建造者。 目标 理解业务，定义人才战略 深入理解 Kimi 在基础模型、Agent、产品、增长和商业化等方向的技术路线与业务目标。 与研究员、工程师和业务负责人共同定义关键岗位，拆解能力模型、人才画像和优先级。 2.建立全球前沿人才地图 持续追踪全球顶尖 AI Labs、高校、开源社区、创业公司和科技企业中的关键人才。 围绕研究、工程、产品、设计、增长和商业人才建立动态人才地图、机构地图及关系网络。 主动发现尚未进入招聘市场、无法通过关键词检索，但可能对 Kimi 产生非线性价值的人。 3.识别并赢得真正优秀的人 独立完成寻访、接触、评估、关系建立、面试推进、Offer 设计、谈判和关闭。 能够判断候选人的思考质量、进化速度、技术或业务潜力、创业精神及文化适配，而不只依赖学历、公司和职级标签。 针对稀缺候选人设计个性化沟通和招聘路径，让候选人理解 Kimi 的技术判断、组织方式和长期机会。 4.建立有审美的评估体系 与业务团队共同设计高信噪比的面试、work sample、scorecard 和决策机制。 帮助面试官校准人才标准，推动直接、充分且基于证据的招聘讨论。 在专业能力之外，识别一个人的注意力方向、原创思考、审美、判断力和面对不确定性的反应。 对招聘质量负责，不以简历量、面试量或短期 HC 完成率替代人才判断。
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Pall Corporation, one of Danaher’s 15+ operating companies, our work saves lives—and we’re
中/高级数据算法工程师 深圳、北京 全职 智能制造 / 工业互联网 / 工业自动化 职位描述 面向机器人抓取与操作算法，负责训练数据生产方案设计与落地，定义数据结构、标注协议、质量标准、数据分布及验收指标；负责机器人非结构化多模态数据处理，包括但不限于 RGB / RGB-D 视频、点云、rosbag、物体位姿、机器人状态、关节状态、末端轨迹、动作序列、力觉及触觉数据；建设数据解析与转换算法，完成多传感器时间同步、相机标定、坐标系转换、轨迹切分、异常检测、数据清洗、去重、标注生成等；基于 Isaac Sim、Isaac Lab 等仿真环境构建机器人操作数据生成能力，包括场景与物体生成、机器人与传感器配置、轨迹 Rollout、交互状态采集、Domain Randomization 及批量自动化数据生成；建设真实机器人数据采集与转换能力，处理真机回传、遥操作、示教及 Ego / UMI 等数据，完成位姿恢复、轨迹重建、动作对齐、Retargeting 和跨机器人本体的数据适配；围绕机器人状态、物体状态和交互轨迹，构建适用于抓取、放置及通用操作模型的训练样本，并持续提升数据的准确性、多样性、覆盖度和物理合理性；分析训练数据分布及模型失败案例，识别长尾场景、困难样本、仿真与真实数据差异，设计针对性的数据补充、筛选和增强策略；与操作算法、仿真、机器人本体及数据平台团队协作，打通数据生成、数据处理、训练集构建、模型训练、评测和问题样本回流的数据闭环。 职位要求 计算机、人工智能、机器人、自动化、计算机视觉等相关专业本科及以上学历，具备机器人数据、计算机视觉、仿真或机器学习相关经验；熟练掌握 Python，具备非结构化数据处理经验，能够独立处理视频、图像、点云、轨迹或时序传感器数据；理解机器人及三维视觉基础知识，包括坐标系、刚体变换、相机内外参、机器人正逆运动学、关节空间与笛卡尔空间、点云和 6DoF 位姿；理解机器人训练数据的基本构成，能够处理 Observation、Action、Robot State、Object State、Contact、Reward / Success 等数据及其时序关系；对数据质量敏感，能够通过统计分析、可视化和自动化规则发现数据异常、分布偏差及采集链路问题；具备较强的问题拆解和独立落地能力，能够与算法、仿真、机器人本体和平台团队协作推进复杂项目。【加分项】有大规模机器人仿真数据生成或
When our values align, theres no limit to what we can achieve. At Parexel, we all share the same goal - to improve the worlds health. From clinical trials to regulatory, consulting, and market access, every
Join our Team About the opportunity We are now looking for a passionate fresh graduate to join our Board Power Design team as a Board Power Design Engineer. In this role, you will contribute to the
Were seeking a highly technical and hands-on Technical Marketing Engineer to help drive NVIDIAs Robotics and Physical AI initiatives in China. You will work closely with engineering, product, sales, and marketing teams, as well as leading
NVIDIA is a world‑leading, fast‑growing AI computing company, delivering everything from the most powerful GPU‑accelerated supercomputers to gigawatt‑scale AI data centers. We build and optimize end‑to‑end GPU server platforms that combine accelerated computing, high‑performance networking, and
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science,
Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined,
About China Automation Beijing Discovery Center – a Lab of the Future — is AstraZenecas build of a maximally automated, end-to-end wet lab in Beijing, run as one lab-in-a-loop with the Beijing AI Centers dry-lab capabilities. The build pairs AI-driven