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Senior Software Engineer - Mapping

DiDi Labs, Mountain View, CA

DiDi Labs is working to solve the world’s most challenging problems.


Autonomous Driving Research Engineer – Mapping

We are currently looking for experienced software engineers to join our Mountain View office to develop algorithms and pipelines for Didi projects in intelligent driving technologies. The goal is to apply the state of the art AI algorithms on cars to make driving smarter and safer. Here you will be responsible for developing state of the art algorithms for mapping and localization. These algorithms will be applied on real vehicles to be deployed in DiDi’s network.

Responsibilities:

  • Develop and deploy tools and pipeline in the area of mapping (particularly HD maps), SLAM and Localization for smart driving.
  • Research and implement the state of the art algorithms, adapt them to driving scenarios and make them run in real-time on vehicles.
  • Contribute to DiDi’s intellectual property through patents.

Qualifications:

  • Bachelors or Masters degree in Computer Science or related disciplines.
  • Solid programming and high working proficiency in C++ and/or Python.
  • Clear communication and a strong desire to be a part of a highly collaborative and rapidly growing team.

Preferred:

  • Masters or Ph.D. degree in Computer Science, Electrical and Computer Engineering or a related field with a focus in computer vision and machine learning.
  • Experience and deep understanding with one of the following domains is a plus:
    • Back-end infrastructure on a large distributed system.
    • HD mapping, SLAM, Localization, etc.
    • Experience in real time 3D LIDAR or image-based localization.

About DiDi Labs

DiDi is a ride-sharing platform dedicated to revolutionizing the way people live and move. Didi Chuxing offers a full range of on-demand mobility options, including Taxi hailing, private car hailing, Hitch (social ride-sharing), Chauffeur (designated driver), Bus, Minibus, Car Rental, and Enterprise Solutions. Our company is committed to working with communities and partners to solve the world’s transportation and environmental challenges using big data-driven deep-learning algorithms that optimize resource allocation.

Want to learn more about DiDi Labs? Visit DiDi Labs's website.