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Contemporary Amperex Technology · 南京市, 江苏, 中国

# 储能EMS算法主任工程师

南京市, 江苏, 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/41aaa9de-4743-47c2-b675-d5fac7903fd7)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 储能EMS算法主任工程师

## Job description

岗位职责 主导电池健康评估、故障诊断与预测等智能算法的方案设计与开发。 主导能量调度策略优化、运行数据分析与统计建模等经典算法的方案设计与开发。 制定算法技术路线，把控模型选型、训练、调优及工程化部署的全链路质量。 带领算法小组完成模块交付，组织算法方案评审，制定算法开发规范。 跟踪行业前沿技术，推动算法能力向产品转化。 编写算法设计文档，配合集成验证，并提供算法相关的技术方案与售前支持。 学历专业 硕士及以上，计算机、人工智能、自动化、应用数学、电气工程或相关专业。 知识技能 深厚的运筹优化、统计分析、机器学习等算法基础，精通Python及常用科学计算与AI框架（如PyTorch/TensorFlow、NumPy/SciPy等）。 熟悉锂电池特性及BMS数据，有电池管理或工业预测维护领域算法项目落地经验。 具备从算法设计到工程化部署的全链路架构能力。 有相关领域学术成果（如顶会论文、核心期刊、发明专利）者优先。 工作经验 5年以上算法研发经验，其中2年以上储能或电力系统领域经验。

## 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: 南京市, 江苏, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/41aaa9de-4743-47c2-b675-d5fac7903fd7)

## More jobs at Contemporary Amperex Technology

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