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Contemporary Amperex Technology · 宁德市, 福建, 中国

# 多目标进化优化算法工程师

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/0186bf33-30ed-4927-b641-378ba486816a)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 多目标进化优化算法工程师

## Job description

### 多目标进化优化算法研发
- 基于NSGA-III、MOEA/D等先进算法，设计高效多目标优化框架，解决产线调度、资源分配、能耗与效率平衡等复杂优化问题。

### 算法高效实现与工程化
- 结合Python/C++/CUDA实现高性能优化求解器，支持大规模约束条件与动态环境下的实时求解。

### 前沿技术探索
- 跟踪GECCO、IEEE TEVC等顶会最新成果，探索可解释性优化、自适应进化策略、多模态感知融合优化等方向，并推动落地。

### 跨团队协作
- 与工艺、自动化团队协同，构建优化问题数学模型，输出算法方案、性能评估报告及部署文档。

### 任职资格
- 计算机科学、自动化、运筹学等相关专业硕士及以上学历；优秀本科生可放宽。
- 扎实掌握多目标优化理论（NSGA-III、MOEA/D等）与进化算法原理。
- 熟练使用Python/C++，熟悉PyTorch、DEAP、Platypus等优化框架。
- 具备算法复现与工程实现能力，有Kaggle优化赛、顶会论文或实际工业优化项目经验者优先。
- 具备较强逻辑思维与跨团队协作能力，自驱力强，持续跟进前沿进展。

## 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/0186bf33-30ed-4927-b641-378ba486816a)

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