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Contemporary Amperex Technology · 宁德市, 福建, 中国

# 具身学习算法工程师

宁德市, 福建, 中国 

Listed on Contemporary Amperex Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/f5dd8f42-e3bd-400e-8523-f1fa22c617ad)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 具身学习算法工程师

## Job description

### 负责具身智能算法研发
- 基于强化学习、模仿学习与自监督学习，构建机器人在真实/仿真环境中自主感知、决策与执行的端到端学习框架。

### 设计多模态感知-动作对齐机制
- 融合视觉、语言、触觉与本体感知，实现语义理解与具身行为的精准映射。

### 推动仿真到现实迁移
- 构建高保真仿真环境，实现策略迁移、少样本适应与在线持续学习。
- 跟进ICML、NeurIPS、ICRA等顶会前沿，探索具身推理、可解释策略生成、人机协作与多智能体协同等方向，推动算法落地产线与服务场景。

### 任职资格
- 计算机、人工智能、自动化等相关专业硕士及以上学历；优秀本科生可放宽。扎实掌握强化学习（PPO、SAC）、模仿学习、自监督学习理论与实现。
- 熟练使用Python、PyTorch，熟悉ROS等机器人开发框架。
- 有
- 机器人控制、具身智能、仿真训练项目经验者优先。具备优秀科研能力，能复现SOTA算法，有顶会论文或Kaggle/RoboCup等竞赛经历者优先。逻辑强、自驱力高，具备跨团队协作与工程落地能力。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 宁德市, 福建, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/f5dd8f42-e3bd-400e-8523-f1fa22c617ad)

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