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Open nowPosted 102 days ago

具身智能算法岗 - 感知模型方向-智鼎子公司

agirobot/campusrecruitment420 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now具身智能算法岗 - 感知模型方向-智鼎子公司agirobot/campusrecruitment · 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/campusrecruitment'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/campusrecruitment 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 102 days ago

agirobot/campusrecruitment median: 1 days open

The posting

1. 参与具身智能感知模型/算法研发,涵盖物体检测与分割、6-DoF 位姿估计、Affordance预测与Grasp检测等核心感知能力; 2. 跟踪并复现业界前沿感知工作(如 FoundationPose / MegaPose、AnyGrasp、Contact-GraspNet、GraspNet、SAM / Grounding DINO 等),面向真机操作场景做算法改进与创新; 3. 构建感知模型的数据 pipeline:RGB-D / 点云数据采集、合成数据(sim-to-real)生成、自动化标注与清洗; 4. 负责模型训练、评测与部署,在仿真与真机上完成闭环验证,为下游抓取/操作任务提供稳定可靠的感知输入; 5. 探索 2D/3D 视觉基础模型(SAM、DINOv2、CLIP)与 3D 表征(点云、3DGS、NeRF)在具身感知中的应用。

1. 2026/2025 届应届毕业生,计算机、人工智能、自动化、机器人、电子工程、数学等相关专业,硕士及以上学历; 2. 扎实的计算机视觉/深度学习基础,熟悉目标检测、语义/实例分割、2D 与 3D 视觉的核心方法; 3. 熟悉位姿估计、Affordance / Grasp 检测中至少一个方向的主流模型与实现,了解其数据处理与训练流程; 4. 熟悉点云处理、多视图几何、RGB-D 成像原理等 3D 视觉基础; 5. 熟练使用 PyTorch,具备良好的工程能力与代码习惯,能独立完成实验设计与结果分析; 6. 对具身智能/机器人感知有强烈热情,学习能力强,具备良好的沟通与团队协作能力。

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