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    [updated_at] => 2018-12-05T18:48:32-05:00
    [title] => Senior Software Engineer, Autonomous Driving
    [content] => <p>Auro is now the Autonomous Driving Division of Ridecell (www.ridecell.com). 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.</p>
<p>We are looking for passionate autonomous vehicle engineers and roboticist to join us in this exciting journey. A candidate with strong experience in autonomous vehicle/robot software stack, who can lead the design and development of high level software modules of our autonomous driving system</p>
<h3>Responsibilities</h3>
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<li>Oversee and guide the design and development of high level software that includes perception, motion planning and localization modules</li>
<li>Research and implement new algorithms/methods related to object detection, tracking, path planning and behavioural planning modules</li>
<li>Contribute 50% to hands on development and 50% to guiding engineers and design discussions</li>
<li>Understand and ensure complete system functionality by working with other technical teams</li>
<li>Contribute to design and review of the processors used for software execution</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>MS/PHD in CS/Electrical/Robotics or equivalent</li>
<li>5+ years experience in Autonomous Vehicle/Robotics or related industry</li>
<li>Hands on experience in design and development of autonomous vehicle/robot modules like object detection/tracking, path planning, behavioural planning, SLAM etc.</li>
<li>Expert in algorithms and C++ programming</li>
<li>Strong foundation in matrices, vectors, transformations and all aspects of applied linear algebra  </li>
<li>Comfortable in ROS</li>
<li>A hustler in exploring and implementing new methods from latest publications</li>
<li>Deep understanding of deep learning and its implementations in object detection, behaviour prediction, motion planning and decision making</li>
</ul>
<h3>Preferred</h3>
<ul>
<li>Experience in software design for safety-critical systems  </li>
</ul>
<h3><br><br></h3>
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Senior Software Engineer, Autonomous Driving

At Ridecell View All Jobs
Santa Clara, CA

Auro is now the Autonomous Driving Division of Ridecell (www.ridecell.com). 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 passionate autonomous vehicle engineers and roboticist to join us in this exciting journey. A candidate with strong experience in autonomous vehicle/robot software stack, who can lead the design and development of high level software modules of our autonomous driving system

Responsibilities

  • Oversee and guide the design and development of high level software that includes perception, motion planning and localization modules
  • Research and implement new algorithms/methods related to object detection, tracking, path planning and behavioural planning modules
  • Contribute 50% to hands on development and 50% to guiding engineers and design discussions
  • Understand and ensure complete system functionality by working with other technical teams
  • Contribute to design and review of the processors used for software execution

Requirements

  • MS/PHD in CS/Electrical/Robotics or equivalent
  • 5+ years experience in Autonomous Vehicle/Robotics or related industry
  • Hands on experience in design and development of autonomous vehicle/robot modules like object detection/tracking, path planning, behavioural planning, SLAM etc.
  • Expert in algorithms and C++ programming
  • Strong foundation in matrices, vectors, transformations and all aspects of applied linear algebra  
  • Comfortable in ROS
  • A hustler in exploring and implementing new methods from latest publications
  • Deep understanding of deep learning and its implementations in object detection, behaviour prediction, motion planning and decision making

Preferred

  • Experience in software design for safety-critical systems  



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