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Open nowPosted 103 days ago

具身全栈算法专家/工程师

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now具身全栈算法专家/工程师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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% 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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 103 days ago

agirobot/referral median: 1 days open

The posting

1. 设计并实现机器人系统中的关键算法模块，包括但不限于感知、运动规划、控制、强化学习与操作策略学习等 2. 独立负责具体任务目标的技术方案制定与交付，快速理解需求、拆解问题，并推动高质量实现。 3. 与系统工程、硬件集成、仿真测试等团队紧密协作，推动算法模块在真实场景中的有效部署与迭代。

1. 研究生及以上学历，机器人、自动化、计算机、电子信息、控制、人工智能等相关专业。 2. 关注前沿进展，具备持续学习与深入钻研的主动性，能够在不确定条件下厘清需求、独立推进任务。 3. 精通 C++ 与 Python，具备良好的代码结构设计、工程实现与性能调试能力。 4. 对机器人基础算法体系有全面认知，并在以下至少一个方向具有深入经验： • 感知（图像处理、点云理解、多模态融合） • 运动规划（采样规划、轨迹优化等） • 控制（位置/速度/力控制，MPC 等） • 状态估计（Kalman / particle filter，传感器融合） • 强化学习与模仿学习（包括行为克隆、DAgger、PPO、Diffusion Policy 等） • 操作策略学习（manipulation policy learning），具备从感知到动作生成的端到端建模能力 加分项： • 有创业经验的技术负责人，有Hackathon经验的选手 • 有机器人实机部署经验，特别是在高复杂度任务中的经验 • 在机器人或机器学习顶级会议（ICRA, CoRL, RSS, NeurIPS 等）发表论文者优先 • 熟悉 ROS/ROS2、Mujoco、PyBullet、Isaac Sim 等仿真和开发工具链者优先

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One press. We do the rest.

  1. A CV for this posting

    Written against agirobot/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on agirobot/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    agirobot/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

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