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Open nowPosted 166 days ago

蔚来AGI超星计划-端到端智能辅助驾驶算法预研

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now蔚来AGI超星计划-端到端智能辅助驾驶算法预研nio/campus · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on nio/campus's own form.

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The clock on this job

Early applications get read.

12.1% 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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 166 days ago

nio/campus median: 1 days open

The posting

课题介绍 课题主要探索面向真实物理空间的端到端智能辅助驾驶算法，运用WAM / VLA端到端大模型的架构设计、训练与优化，完成物理空间任务执行与规划。包括但不限于跨模态对齐、指令遵循、reasoning推理能力优化。探索融合模仿学习、强化学习等技术的混合训练范式，提升策略泛化性与鲁棒性。 预期产出 - Physical AI行业顶级的科技报告与技术论文； - 模型算法将部署在百万台设备上，落地蔚来智能辅助驾驶产品体系，解放精力、减少事故。

  • 发表过智能辅助驾驶 / 具身智能相关方向的高权重 / 高技术影响力论文，具备对世界模型的体系化认知能力；
  • （加分）在国内外顶尖高校实验室或企业核心模型团队驱动过密集算力进行模型Scaling；
  • 实习时长6个月以上。
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