Mapping and Localization Engineer

Website European Recruitment

Mapping and Localization Engineer

This position is with a leading automotive OEM hoping to create autonomous driving for the masses. Working alongside a leading ride-share company you will be working on cutting edge technology that will change the way transport is used worldwide.

 

In this role you will be researching and developing localization algorithms for autonomous vehicles. 

 

The main focus is developing Localization & Mapping technology including but not limited to: Vision based localization & mapping, Lidar based localization & mapping, Simultaneous Localization and Mapping (SLAM), Iterative Closest Point (ICP), integration of vision/lidar based localization with GNSS and IMU through Kalman filter/Particle filters.

 

Major Responsibilities

  • Develop infrastructure for HD maps, both processing and storage
  • Build meta-data and imagery data stores at scale
  • Create large scale pipelines for running ML/computer vision and localization algorithms
  • Deploy in production and build scalable distributed systems, with micro-services framework and devops managed systems
  • Act as point person for key components that store peta-bytes of data and process millions of data streams
  • Master’s degree in Computer Science or equivalent experience, including but not limited to: Electrical, Robotics, and Aerospace
  • Knowledge of Computer Vision and basic Image Processing
  • Knowledge of Visual Odometry / Image Matching / Image Stitching
  • Knowledge of SLAM/ICP
  • Knowledge of Kalman Filter / Particle Filter
  • Experience with Lidar point cloud based localization
  • Experience with GPS
  • Proficient in programming in C/C++, Matlab/Simulink, etc.
  • Excellent Communication Skills
  • Geospatial – Familiarity with geospatial datasets and services, such as maps, local search, points of interest and business listings data, mobile device location and GPS traces
  • Core Infrastructure – Experience with development large scalable distributed systems
  • Familiarity with service oriented architecture
  • Data Processing – experience with large scale data processing pipelines using Kinesis, Kafka, Hadoop, Hive.Machine Learning – knowledge of machine learning, data mining

 

Education: 

  • Master’s degree in Computer Science or equivalent experience, including but not limited to: Electrical, Robotics, and Aerospace

 

Skills and Competencies

  • Knowledge of Computer Vision and basic Image Processing
  • Knowledge of Visual Odometry / Image Matching / Image Stitching
  • Knowledge of SLAM/ICP
  • Knowledge of Kalman Filter / Particle Filter
  • Experience with Lidar point cloud based localization
  • Experience with GPS
  • Proficient in programming in C/C++, Matlab/Simulink, etc.
  • Excellent Communication Skills


Additional experience:

  • Geospatial – Familiarity with geospatial datasets and services, such as maps, local search, points of interest and business listings data, mobile device location and GPS traces
  • Core Infrastructure – Experience with development large scalable distributed systems
  • Familiarity with service oriented architecture
  • Data Processing – experience with large scale data processing pipelines using Kinesis, Kafka, Hadoop, Hive.Machine Learning – knowledge of machine learning, data mining

 

Keywords: Autonomous driving, Robotics, SLAM, Mapping, Automotive, Computer Vision, Machine Learning, Deep Learning, Perception, C++, Python, GPU, CUDA

 

 

#Autonomous Driving

 

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Categories: Autonomous Driving

  Salary: Negotiable

  Location: San Francisco, United States

  Job type: Permanent, Full Time