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算法 jobs (salary & requirements)

南京光智元科技有限公司 算法 salary range: 20K - 50K, where 83.3% of positions earn ¥20-50K
南京光智元科技有限公司 算法 salary range: 20K-50K, the most positions earn 20-30K, based on 6 related positions in the past year, as of 2026-09-27
¥20-50K
83.3% of positions earn

Note: the average salary is analyzed based on job postings published by the company. We recommend reviewing it together with position type, education, region and experience.

南京光智元科技有限公司 算法 salary changes over the years

Note: the data depends on salary samples of online job postings in the corresponding years and does not fully represent the actual situation within the company. For reference only.

南京光智元科技有限公司 related position salaries

Education requirements: 硕士 is the most common

What education does 南京光智元科技有限公司 require for 算法 positions? 硕士占比最多,占100%

Salary by education

南京光智元科技有限公司 算法 salaries by education: 硕士 ¥34.2K.

Experience requirements: 1-3年 is the most common

What experience does 南京光智元科技有限公司 require for 算法 positions? 1-3年占比最多,占50%,不限占33.3%,5-10年占16.7%

Salary by experience

南京光智元科技有限公司 算法 salaries by experience: 1-3年 ¥35.0K, 5-10年 ¥50.0K.

算法 hiring regions: mainly 上海, 杭州

In which cities does 南京光智元科技有限公司 have offices for 算法 positions? The main distribution is as follows: 上海 accounts for 50%. Click this module to view the proportions of other cities, based on job postings in the past year. For reference only.

算法 hiring trends over the years

算法 changes in hiring volume over the years

算法 related job postings

Based on related job postings of 南京光智元科技有限公司 in the past year
  • 算法工程师

    杭州-余杭区 | 1-3年 | 硕士以上 | 2026-09-08
    20000-40000
    工作职责
    1、优化深度模型,降低推理时延,提升吞吐,包括但不限于模型剪枝、模型量化、模型蒸馏、模型压缩等;
    2、适应并充分利用光计算硬件资源,控制模型部署成本;
    3、对模型量化和部署时存在的精度与性能问题进行分析和调优,识别和解决瓶颈问题,提高模型速度;
    任职要求
    1、相关领域专业硕士或者博士
    2、有深度学习应用加速和优化的经验,熟悉常见的模型优化技术如量化、稀疏等,并能够根据不同场景和硬件平台进行针对性的优化;
    3、 熟悉各类深度学习网络结构和算子底层实现细节;
    4、熟练掌握TensorFlow、PyTorch等至少一种深度学习框架;
    5、有机器学习方面如 CV, NLP等领域的相关经验;.
    6、熟练的Python和C++编程能力;
    7、优秀的文档文献阅读学习能力;
    加分项
    1、 熟悉GPU硬件结构,有CUDA开发、优化经验。熟悉TensorRT/Triton/Cutlass经验者优先;
    2、熟悉LLM主流推理引擎,如FasterTransformer/vLLM。熟悉常见的推理优化方法,如FlashAtention、paged attention、Continuous Batching、Speculative Decoding优先;
    3、有算法框架底层优化/研发经验者优先;
    More
  • 人工智能算法工程师

    上海-浦东新区 | 硕士以上 | 2026-02-04
    18000-30000 򀀩
  • 人工智能算法工程师(J10022)

    上海-浦东新区 | 1-3年 | 硕士以上 | 2026-03-18
    18000-30000 򀀩

南京 算法 salary

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How much does 南京 算法 pay? 30-50K is the most common