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Contemporary Amperex Technology · 宁德市, 福建, 中国

# 寿命算法开发工程师

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/campus-recruitment/catlhr/148948#/job/7cf0ea24-891c-4c93-93f7-e2c8afd51dcd)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 寿命算法开发工程师

## Job description

### 一、岗位职责

1、开发可靠性加速方法：主导开发先进加速评估技术，设计超越常规时效的可靠性加速验证方案，让研发迭代速度突破物理极限。 2、积累核心数据资产：主导搭建覆盖全体系、全工况的可靠性模型参数数据库，让每一次测试数据都沉淀为公司的战略资产，为下一代产品设计提供“超算级”输入。

### 学历要求
- 硕士及以上；

### 专业要求
- 计算机科学与技术、人工智能、数据科学、软件工程、自动化、控制科学与工程、应用数学、统计学、车辆工程、电子信息工程等相关专业；

### 英语听说读写要求
- 英语6级，熟练掌握读说写；

### 项目经验、关键技能要求
- 熟练掌握机器学习、深度学习核心算法（如回归、分类、时序预测、神经网络等），理解其数学原理与适用场景、熟悉时间序列分析、信号处理、特征工程等方法，具备处理电池充放电曲线、电压/电流/温度时序数据的能力，了解物理信息神经网络（PINN）、高斯过程回归、迁移学习等在电池建模与寿命预测中的应用者优先，具备将AI算法与物理/电化学模型相结合的混合建模思维，不局限于纯数据驱动方法；精通 Python，熟练使用 PyTorch、TensorFlow、Scikit-Learn 等主流深度学习与机器学习框架；

### 软性素质要求
- 有想法、执行力强、抗压、优秀的沟通和表达能力。

## 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/campus-recruitment/catlhr/148948#/job/7cf0ea24-891c-4c93-93f7-e2c8afd51dcd)

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