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    [id] => 1109849
    [updated_at] => 2018-12-05T18:48:32-05:00
    [title] => Lead Perception Engineer, Autonomous Driving
    [content] => <p>Auro ( <a href="http://www.auro.ai/"><u>www.auro.ai</u></a> ), is now the Autonomous Driving Division of Ridecell. While Auro shines in autonomous driving technology, Ridecell has a rich experience in operations and management of large fleets of vehicles at scale. We are together pushing for the widespread adoption of autonomous mobility with our self driving shuttles and end to end mobility service platform. We are looking for people passionate about autonomous vehicles and self driving cars to join us in this exciting journey.</p>
<p>We are looking for an expert Autonomous Vehicle Engineer who will own and lead the perception stack development of our autonomous vehicles</p>
<h3>Responsibilities</h3>
<ul>
<li>Own and lead the perception stack development</li>
<li>Develop object detection, tracking and classification systems using data from 3D LIDAR and camera</li>
<li>Build trackers or models for motion prediction of objects</li>
<li>Use pre-trained deep learning models for developing perception systems</li>
<li>Work with deep learning team for development of new models</li>
<li>Explore perception algorithms from latest research publications, study and implement them</li>
<li>Performance optimization for higher frame rates</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>MS in CS/EE/Robotics or equivalent</li>
<li>4+ years professional experience in Robotics or Autonomous Vehicle projects</li>
<li>Strong foundations in applied linear algebra, 3D data manipulations and computer vision</li>
<li>Experience with ROS, OpenCV, PCL, noise filters and kalman filters</li>
<li>Extensive experience in C++</li>
<li>Prior experience using deep learning models like CNN/R-CNN</li>
<li>Familiarity with various sensor technologies such as LIDAR, cameras, IMU, etc. and sensor fusion</li>
</ul>
<h3>Preferred </h3>
<ul>
<li>5 years experience in Robotics/ Autonomous Vehicle / Automotive Industry</li>
<li>Experience with GPU based algorithms using CUDA</li>
<li>Experience in designing fault tolerant systems keeping in view of level 5 autonomous driving</li>
</ul>
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Lead Perception Engineer, Autonomous Driving

At Ridecell View All Jobs
Santa Clara, CA

Auro ( www.auro.ai ), is now the Autonomous Driving Division of Ridecell. While Auro shines in autonomous driving technology, Ridecell has a rich experience in operations and management of large fleets of vehicles at scale. We are together pushing for the widespread adoption of autonomous mobility with our self driving shuttles and end to end mobility service platform. We are looking for people passionate about autonomous vehicles and self driving cars to join us in this exciting journey.

We are looking for an expert Autonomous Vehicle Engineer who will own and lead the perception stack development of our autonomous vehicles

Responsibilities

  • Own and lead the perception stack development
  • Develop object detection, tracking and classification systems using data from 3D LIDAR and camera
  • Build trackers or models for motion prediction of objects
  • Use pre-trained deep learning models for developing perception systems
  • Work with deep learning team for development of new models
  • Explore perception algorithms from latest research publications, study and implement them
  • Performance optimization for higher frame rates

Requirements

  • MS in CS/EE/Robotics or equivalent
  • 4+ years professional experience in Robotics or Autonomous Vehicle projects
  • Strong foundations in applied linear algebra, 3D data manipulations and computer vision
  • Experience with ROS, OpenCV, PCL, noise filters and kalman filters
  • Extensive experience in C++
  • Prior experience using deep learning models like CNN/R-CNN
  • Familiarity with various sensor technologies such as LIDAR, cameras, IMU, etc. and sensor fusion

Preferred 

  • 5 years experience in Robotics/ Autonomous Vehicle / Automotive Industry
  • Experience with GPU based algorithms using CUDA
  • Experience in designing fault tolerant systems keeping in view of level 5 autonomous driving

Apply for the job

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