Trajectory 招聘 在 中国 - 35 Job Positions Available

端到端双足导航算法实习生 上海 实习 职位描述 - 负责端到端自主导航算法研发，构建面向全尺寸人形机器人的自主导航能力，包括多模态感知、轨迹预测、导航决策等核心模块，持续提升导航智能化水平。- 负责VLM-Nav/VLN/VLA相关算法研发，构建视觉-语言-动作闭环能力，实现自然语言理解、语义目标定位、路径规划及自主执行。- 负责多模态感知模型研发，包括RGB、Depth、LiDAR、IMU等多源信息融合，研究BEV、Occupancy、语义地图等环境表征，为导航规划提供统一场景理解能力。- 负责导航Planner模型研发，探索基于Transformer、Diffusion、World Model等新一代规划算法，实现Waypoint预测、轨迹生成、动态避障及复杂环境下的自主决策。- 负责双足机器人导航感控融合算法研发，构建导航规划与运动控制协同框架，实现规划轨迹与步态控制、全身控制（WBC）、地形感知等模块的高效协同，提升复杂地形、人群环境及动态场景下的运动稳定性与导航成功率。 职位要求 - 硕士及以上学历，计算机、机器人、人工智能等相关专业。- 熟悉机器人导航、Embodied AI、VLM/VLA、VLN等相关方向，具有较扎实的算法基础。- 熟悉以下一个或多个方向： - 端到端自主导航（End-to-End Navigation） - Planner模型（Transformer、Diffusion、World Model等） - 多模态感知（BEV、Occupancy、3D Perception、多传感器融合） - 轨迹预测与运动规划（Trajectory Prediction、Motion Planning） - VLM-Nav / Vision-Language Navigation- 熟悉深度学习框架（PyTorch等），具备模型训练、调优、部署及性能优化经验。- 具备较强的问题分析及工程实现能力，能够独立完成算法设计、实验验证、性能分析及线上问题定位。-

Job Description: Ensure safety checks. Regulate machine, adjust tools, jigs and parts. - Perform machining operations following the predefined process and anticipating tool trajectory. - Ensure machining conformity using the definition and the reference part. This job

OVERVIEW: Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Minimum qualifications: Bachelors degree or equivalent practical experience. 2 years of industry experience in advertising, consultative sales, or business development. Ability to communicate in English and Mandarin fluently to support client relationship management in this region.

We seek a Robotics DevTech Engineer to join our NVIDIA Omniverse team in China. This role serves as the local technical bridge linking the robotics community across China and the global NVIDIA platform team. Function as

OVERVIEW: Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Overview: Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

We’re building a lightweight 2D vector map system for intelligent driving. We adopt learning-based algorithms to reconstruct structured road layers from mass vehicle driving data. Our team leverages computer vision, graph modeling and computational geometry to

Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:RD China Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Shanghai, Xingchi Tower, No. 399, Keqiao Road, Jinqiao, Pudong Startdatum:sofort Veröffentlichungsdatum:17.08.2026 Stellennummer:MER00046L8 Arbeitszeit:Vollzeit Bewerben Aufgaben Method and algorithm development, integration and validation with strong focus

Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.

Job Purpose: With high ambitions to drive China Fashion retail operational excellence, building strong business acumen and performance-driven decision-making capabilities among retail leaders is essential. The Retail Performance & Insights Assistant Manager strengthens the retail performance

液化空气工程与制造中国作为液化空气工程与制造事业部的一员，伴随液化空气（杭州）有限公司于1995年成立，标志着集团的工程与制造业务正式进入中国。液化空气工程与制造中国将本地资源与集团的尖端技术有效结合，为各行各业的客户提供低排放、低能耗和高性价比的生产装置，从而助力中国企业实现转型和升级。同时，公司也致力于为员工、社区和中国社会创造长期价值。 The Digital & IT - Product Manager - AVEVA ERM & Construction bridges business ambition and engineering reality to deliver products that are usable, viable, and valuable. Accountable for the end-to-end lifecycle—from backlog to performance

校招-大模型算法工程师(数据闭环方向) 上海、北京 校招 正式 数字技术 - 算法 硕士及以上 2027届校园招聘-正式批 职位 ID：A151513A 职位描述 负责智能辅助驾驶端到端模型的强化学习训练框架设计与优化，包括但不限于 PPO、GRPO、DPO、Offline RL、RLHF 等技术路线。负责智能辅助驾驶训练数据体系建设，包括数据版本管理、数据质量评估、场景覆盖分析、长尾场景挖掘和数据迭代策略设计。负责智能辅助驾驶奖励模型（Reward Model）和评测体系建设，设计兼顾安全性、舒适性、效率和规则遵守的奖励函数体系。负责智能辅助驾驶模型训练闭环建设，包括数据挖掘、数据生产、训练、评测、回灌和迭代优化。负责大规模分布式训练任务开发与优化，提升训练效率、资源利用率和模型收敛效果。探索 Diffusion、Autoregressive、World Model、RL 等前沿技术在智能辅助驾驶中的应用，并推动落地。跟踪学术界和工业界最新进展，推动先进算法在业务中的快速验证和落地。 职位要求 计算机、人工智能、自动化、机器人等相关专业硕士及以上学历。扎实的机器学习和深度学习基础，熟悉 Transformer、Diffusion、LLM 等主流模型架构。熟悉强化学习基础理论，包括：MDP、Policy Gradient、Actor-Critic、Offline RL熟悉智能辅助驾驶训练链路，包括：数据构建数据清洗数据版本管理模型训练模型评测闭环迭代具备良好的工程能力，能够独立完成算法设计、实验验证和线上部署。加分项智能辅助驾驶方向有端到端智能辅助驾驶（E2E Driving）经验。有 Planning、Behavior、Trajectory Prediction 或 Closed-loop Simulation 经验。有 CARLA、闭环仿真或真实车辆部署经验。有智能辅助驾驶数据引擎建设经验。有数据版本管理平台设计经验。数据与训练体系方向有 PB 级数据管理经验。有训练数据自动发版体系建设经验。有数据质量度量、场景覆盖分析、难例挖掘经验。有训练效率优化经验（吞吐、收敛、成本优化）。学术背景在以下顶级会议或期刊发表论文者优先有智能辅助驾驶、强化学习或大模型方向高质量开源项目经验者优先。 投递...

Company: Qualcomm China Job Area:Engineering Group, Engineering Group Systems Engineering General Summary: We are seeking a highly skilled expert with a strong theoretical foundation and hands-on engineering capabilities, specializing in motion planning and control of robotic

Company: Qualcomm China Job Area:Interns Group, Interns Group Interim Engineering Intern - SW General Summary: About the Role Join us to explore how deep learning can transform server-side crowdsourced mapping. This internship offers hands-on experience with

Littelfuse (NASDAQ: LFUS) is a diversified industrial technology manufacturing company shaping solutions for the safe and efficient transfer of electrical energy. Headquartered in Chicago, Illinois, USA, we serve customers across industrial, transportation, and electronics markets worldwide.

About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines,

About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines,

About Overview.ai Overview.ai is bringing the cutting edge of AI computer vision to manufacturing—solving inspection problems that were previously not solvable with traditional machine vision. We’re a full-stack company: we deploy GPU-powered cameras on production lines,