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Open nowPosted 108 days ago

具身交付算法工程师(R11625)

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now具身交付算法工程师(R11625)agirobot/referral · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on agirobot/referral's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. agirobot/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 108 days ago

agirobot/referral median: 1 days open

The posting

  • 负责将强化学习前沿算法在人形机器人平台上进行工程化实现、部署与调优。 协同感知、控制等其他人形机器人模块进行联合调试与系统集成。
  • 基于真机实验数据，分析并解决算法在复杂物理场景中的实际问题，持续优化性能。
  • 参与项目全流程，与相关团队协作，推动算法方案在具体任务中的有效落地。

必需项： - 硕士及以上学历，计算机、人工智能、机器人等相关专业。 具备机器人相关项目经验，了解机器人运动学、视觉标定及位姿估计等基本知识，能与感知、控制团队顺畅协作。 - 有在真实机器人硬件上进行算法部署和调试的完整项目经验。 良好的代码与工程实践能力，积极主动，具备较强的实际问题解决和团队沟通能力。

优先项： - 具备机器人项目落地经验，熟悉工业项目流程，有大型项目交付经验者优先。 - 熟练运用计算机视觉技术解决机器人任务，包括：目标检测与识别、6D位姿估计等，并有相关项目实践。 - 扎实的强化学习基础，熟悉PPO、SAC等主流算法，能熟练使用PyTorch等框架进行工程实现。 - 拥有将视觉感知、状态估计与强化学习决策在实际机器人平台上整合调优的经验。 了解多传感器（视觉、力觉）融合在机器人控制中的应用。

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