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Open nowPosted 16 days ago

具身智能Infra工程师-lab-校招

booster/index80 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身智能Infra工程师-lab-校招booster/index · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. booster/index postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 16 days ago

booster/index median: 6 days open

The posting

职位描述 1. 具身智能仿真和训练软件的维护与开发：跟踪和应用具身智能仿真软件和算法训练框架领域的最新进展；开发和维护人形机器人全身运动算法和具身操作算法的训练软件（仿真软件、强化学习框架、重定向软件、动作生成与编辑软件等），并管理相关开源项目； 2. 算力集群下训练和部署系统的建设和维护：建设和维护算力集群下的训练系统，合理调度和分配算力，提高算力利用率；与算法团队密切合作，从多GPU调度、内存占用、数据吞吐等方面消除训练瓶颈，提升训练效率；维护和改进端侧硬件上的部署系统，降低算法在真机部署时的延时和资源消耗； 3. 数据采集和真机评测系统的建设和维护：建设和维护基于动捕系统的人形机器人数据采集和真机评测硬件系统；基于该硬件系统开发和维护数据采集和真机评测软件；建立和改进数据采集和真机评测流线； 其中，第1，2，3项中至少负责一项；

职位要求 1. 专业基础：机器人、自动化、计算机、软件工程、人工智能、控制工程等相关专业； 2. 编程与仿真：具备扎实的编程和软件开发能力；熟悉Linux系统、Python、C++，熟练掌握 PyTorch、TensorFlow 等至少一种机器学习框架； 3. 机器人基础（针对职位描述第1, 3项）：熟悉 MuJoCo、Isaac Lab 等机器人仿真平台；掌握主流的人形机器人算法原理（如强化学习、重定向、扩散模型等），并具备一定的实操经验； 4. 系统性能优化（针对职位描述第2项）：熟悉计算机体系结构原理；熟悉CUDA架构的原理和开发；熟悉分布式训练机制原理；具备全栈性能分析能力，能高效识别训练和部署过程中计算、通信与数据加载链路的关键瓶颈，并进行针对性优化； 5. 软硬件系统集成（针对职位描述第3项）：熟悉光学动捕、惯性动捕的原理和操作；具备扎实的软硬件系统集成、调试和分析能力。 加分项 1. 作为核心成员参加过具身智能相关竞赛，或对机器人学习与控制相关开源项目有实质贡献； 2. 具有机械臂或人形机器人仿真和真机部署经验，熟悉实际操作中的关键问题及解决方法； 3. 作为核心成员开发和维护过具有较大影响力的开源软件项目。

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