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Open nowPosted 179 days ago

智能驾驶-地图算法实习生

utopilot/campus9 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now智能驾驶-地图算法实习生utopilot/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 utopilot/campus's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 179 days ago

The posting

1） 参与L4级自动驾驶车辆激光定位算法相关研发、方案解决、工程化落地等工作。 2）参与对于激光/视觉/INS等定位算法框架进行设计、开发及调优。 3）跟踪领域前沿技术的发展趋势，并运用其技术解决现实问题。

1） 在读硕士或博士研究生； 2） 熟悉的SLAM理论基础，了解EKF、PF、Graph Optimization算法，失恋掌握主流激光SLAM前后端技术及工具（LOAM系、cartographer、gtsam、ceres等）；具备深度学习、多传感器融合在SLAM中应用经验者优先；有从0到1的自动驾驶激光定位功能开发经验。 3） 具备Linux系统下开发经验；具有扎实的编程功底以及代码实现能力，具备基于C++和Python的算法开发能力；熟练使用OpenCV、PCL；有g2o、ceres、gtsam等非线性优化框架应用经验。 4） 具备自动驾驶激光定位研发经验或项目经验优先。 5） 满足如下条件可优先考虑：曾在相关领域内会议期刊发表论文者；在知名比赛/开源数据集中取得优异成绩者。 6） 英语CET-6或以上，能阅读外文资料。 7） 追求卓越，有很强的自我驱动能力和学习能力，并有强烈意愿将技术转化为实际产品；具备良好的团队合作精神、严密的逻辑思维能力以及高效沟通能力。

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