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    [updated_at] => 2019-12-04T14:14:05-05:00
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    [title] => Data Engineer, Autonomous Driving
    [content] => <p><strong>Data Engineer, Autonomous Driving</strong></p>
<p> </p>
<p><strong><em>Job Summary:</em></strong></p>
<p><span style="font-weight: 400;">Collecting, managing and making sense of data from sensors is critical for an autonomous driving team. The team needs reliable collection of data on various platforms including Ridecell’s fleet of self driving cars. After collection, data needs to be transferred to storage systems on premise and in the cloud, followed by cataloguing of captured datasets for use by the rest of the team.</span></p>
<p> </p>
<p><span style="font-weight: 400;">Making sure the data infrastructure, processing scripts and cataloguing procedures and code are scalable, robust and efficient is a highly challenging task given to the Data engineer! In this role, the data engineer will have to find ways to efficiently capture “meaningful” data.</span></p>
<p> </p>
<p><strong><em>Responsibilities and Duties:</em></strong></p>
<p><span style="font-weight: 400;">Day to day responsibilities include :</span></p>
<p><span style="font-weight: 400;"> </span><span style="font-weight: 400;">1. Developing and maintaining infrastructure and tools for data pipeline - data capture, transfer, storage, annotation, cataloguing and use by perception and planning teams.</span></p>
<p>2. Developing efficient data capture techniques including use of artificial intelligence techniques like active learning in collaboration with data scientists on the team.</p>
<p>3. Automating data pipeline to allow scaling to multiple cars and locations as Ridecell grows</p>
<p><span style="font-weight: 400;">4. Involvement in data collection activities and providing critical comments and feedback about collected data to data scientists and perception and planning teams.</span></p>
<p>5. Collaboration in defining scenarios and locations for data capture</p>
<p>6. Interface with vendors and suppliers of data infrastructure system components and make key vendor selections and build vs buy decisions for data infrastructure </p>
<p> </p>
<p><strong><em>Qualifications and Skills:</em></strong></p>
<ol>
<li style="font-weight: 400;"><span style="font-weight: 400;">MS/BS degree in CS/EE/ECE/Statistics or equivalent industry experience.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Good Python scripting <strong>industry</strong> experience, 2+ years. </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">C++ coding experience, 2+ years.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Ability to write good, clean, documented code.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Data infrastructure knowledge - on premise storage systems, filesystems, cloud backups, data security.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with Docker. </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Good English communication skills - written and spoken.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience working on and maintaining data infrastructure (Bonus)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with ML frameworks like Tensorflow, PyTorch (Bonus)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Worked with data annotations for LIDAR and Camera perception (Bonus)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience in self driving car teams (Bonus)</span></li>
</ol>
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Data Engineer, Autonomous Driving

At Ridecell View All Jobs
Milpitas

Data Engineer, Autonomous Driving

 

Job Summary:

Collecting, managing and making sense of data from sensors is critical for an autonomous driving team. The team needs reliable collection of data on various platforms including Ridecell’s fleet of self driving cars. After collection, data needs to be transferred to storage systems on premise and in the cloud, followed by cataloguing of captured datasets for use by the rest of the team.

 

Making sure the data infrastructure, processing scripts and cataloguing procedures and code are scalable, robust and efficient is a highly challenging task given to the Data engineer! In this role, the data engineer will have to find ways to efficiently capture “meaningful” data.

 

Responsibilities and Duties:

Day to day responsibilities include :

 1. Developing and maintaining infrastructure and tools for data pipeline - data capture, transfer, storage, annotation, cataloguing and use by perception and planning teams.

2. Developing efficient data capture techniques including use of artificial intelligence techniques like active learning in collaboration with data scientists on the team.

3. Automating data pipeline to allow scaling to multiple cars and locations as Ridecell grows

4. Involvement in data collection activities and providing critical comments and feedback about collected data to data scientists and perception and planning teams.

5. Collaboration in defining scenarios and locations for data capture

6. Interface with vendors and suppliers of data infrastructure system components and make key vendor selections and build vs buy decisions for data infrastructure 

 

Qualifications and Skills:

  1. MS/BS degree in CS/EE/ECE/Statistics or equivalent industry experience.
  2. Good Python scripting industry experience, 2+ years. 
  3. C++ coding experience, 2+ years.
  4. Ability to write good, clean, documented code.
  5. Data infrastructure knowledge - on premise storage systems, filesystems, cloud backups, data security.
  6. Experience with Docker. 
  7. Good English communication skills - written and spoken.
  8. Experience working on and maintaining data infrastructure (Bonus)
  9. Experience with ML frameworks like Tensorflow, PyTorch (Bonus)
  10. Worked with data annotations for LIDAR and Camera perception (Bonus)
  11. Experience in self driving car teams (Bonus)

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