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Open nowPosted 71 days ago

校招-测试开发工程师(具身智能应用方向)

nio/campus870 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-测试开发工程师(具身智能应用方向)nio/campus · Shanghai, Chinese Mainland
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The clock on this job

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Share of postings closed within
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  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 71 days ago

The posting

1. 参与灵巧手 / 双臂机器人控制算法(力控、柔顺控制、力位混合控制等)的自动化测试方案设计与执行,协助完成算法真机验证与性能评测。 2. 参与模仿学习(Diffusion Policy、ACT)、强化学习策略的测试验证,搭建基础测试环境,协助完成数据采集、测试用例执行与结果分析。 3. 参与构建机器人自动化测试工具链,协助完善 “数据采集→训练→真机验证→质量分析” 的基础闭环流程,提升测试与迭代效率。 4. 协助维护高保真仿真测试环境(Isaac Sim、MuJoCo、SAPIEN),参与 Sim2Real 相关测试验证工作,推动仿真与真机测试的联动落地。 5. 跟踪机器人自动化测试前沿技术,协助优化测试流程,输出标准化测试报告与质量分析文档。

计算机、人工智能、机器人、自动化、控制工程等相关专业应届硕士研究生及以上学历,2027届毕业生优先。 熟悉机器人基本控制原理,了解力控、柔顺控制、多体机器人协同控制等基础概念优先。 熟悉 Python/C++ 至少一种编程语言,具备基础的自动化脚本开发能力,了解 Git、Linux 常用操作。 了解机器人仿真平台(Isaac Sim/MuJoCo/SAPIEN)或 ROS/ROS2,有相关课程项目或竞赛经历优先。 了解机器学习 / 模仿学习基础概念,熟悉 TensorRT、ONNX Runtime 等推理部署工具优先。 具备良好的逻辑思维、问题排查能力,较强的沟通协作意识和文档撰写能力,对机器人工程落地有热情。 有机器人、机械臂、灵巧手相关的课程设计、毕设项目或竞赛经历(RoboMaster、RoboCon 等)优先。 有自动化测试、CI/CD 工具链搭建、数据处理与分析相关经验优先。 熟悉 VLA/VLM 基础概念,了解 RT-1/2、OpenVLA 等模型优先。 有顶会 / 期刊论文、专利、软著或开源项目贡献经历。

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