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Contemporary Amperex Technology · 福建, 中国

# 算电协同AI算法工程师

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/7bd91611-6234-4b55-b5cb-f64ae99c307b)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 算电协同AI算法工程师

## Job description

### 岗位职责
- 研发源网荷储核心AI算法，包含新能源出力预测、算力负荷时序预测、储能智能调度、源荷动态匹配、机房PUE智能优化模型，完成建模、训练、调优与落地部署；
- 搭建风光储、电网、算力负荷多维度协同调度策略，实现“源随荷动、荷随源调”，提升绿电消纳率，错峰降低场站度电成本；
- 迭代储能AI调控算法，结合电网峰谷、新能源波动、算力负载需求，实现储能削峰填谷、平抑波动、应急备电，兼顾场站供电稳定性与经济性；
- 研发算力柔性调度算法，利用GPU算力可分片、可延时特性，联动新能源发电高峰动态调配负载，实现节能降碳、压降运行能耗；
- 搭建源网荷储能耗仿真与碳核算模型，完成碳足迹、绿电利用率、减排增益量化统计，为零碳算力认证、Token确权交易提供算法支撑；
- 对接算力中心能源管理系统、MAAS算力平台完成算法部署与联调，持续迭代优化PUE、源荷匹配精度与新能源消纳指标；
- 输出节能降碳数据与报表，支撑绿色算力商业化运营、产品包装与合规备案。

### 岗位要求
- 熟练掌握Python、深度学习、时序预测、强化学习、多目标优化算法，具备能源调度建模实操能力；
- 熟悉光伏、储能、微电网及源网荷储运行机制，了解算力工厂算力机房能耗、负载及PUE优化逻辑；
- 可独立完成算法建模、仿真迭代、现场落地，能解决源荷错配、能耗偏高、新能源消纳不足等实际问题；
- 具备良好数据复盘与跨部门协同能力，有碳资产管理、能源数字孪生项目经验者优先。

## 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: 福建, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/7bd91611-6234-4b55-b5cb-f64ae99c307b)

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