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Open nowPosted 74 days ago

校招-智能辅助驾驶模型算法工程师 - 多平台迁移训练

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-智能辅助驾驶模型算法工程师 - 多平台迁移训练nio/campus · Shanghai, Chinese Mainland

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. nio/campus postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 74 days ago

nio/campus median: 1 days open

The posting

1. 负责蔚来世界模型向不同传感器配置及不同芯片、车型的适配与重训，通过数据重刷、模型与Reward调优、模型前后处理调优等手段，应对传感器和执行器变化带来的特性变化，使模型在新车型达到量产性能要求。 2. 负责模型训练全流程，覆盖数据集构建、分布式训练、网络与loss调整及部署问题定位。 3. 推动模型在端侧平台的量产落地，解决模型在大规模量产中遇到的问题。

教育背景 硕士及以上学历，2027届应届生，计算机/软件/AI/自动化/电子等相关专业 必备能力 Linux/Git：熟练Linux开发环境，熟悉Git及CI/CD基本流程 C++：熟悉C++11/14/17标准，掌握内存模型、智能指针、STL、多线程编程 Python：熟悉多进程/多线程/协程，理解GIL与内存管理机制 PyTorch：熟悉PyTorch及分布式训练基本概念，有课程/项目实操经历 加分项 CUDA/GPU加速实践经历 了解LMDB/Arrow/WebDataset等数据格式 了解DDP/FSDP/DeepSpeed/Megatron等分布式策略 接触过Perf/Nsight/Triton / ASan等性能工具 有训练框架阅读或小改动经历 有智能辅助驾驶/机器人/大模型训练相关项目或竞赛经历

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