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    [id] => 1866527
    [updated_at] => 2019-12-04T14:14:05-05:00
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    [title] => Senior Devops Engineer, Autonomous Driving
    [content] => <p><span style="font-weight: 400;">Auro ( <a href="http://www.auro.ai/">www.auro.ai</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.</span></p>
<p><span style="font-weight: 400;">An expert DevOps engineer who can take ownership of the setup and maintenance of networking and compute infrastructure of our autonomous driving division. </span></p>
<p><span style="font-weight: 400;">The daily tasks include continuous integration and deployment, Docker workspace setup, in-vehicle computer and network setup, data collection infrastructure, process design and workspace setup for developers. </span></p>
<p> </p>
<h3>Responsibilities</h3>
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<li style="font-weight: 400;">
<p><span style="font-weight: 400;">In-vehicle computer and network setup</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Build and maintain custom servers for deep learning infrastructure </span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Cloud Infrastructure management including version control, build, integration and deployment servers </span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Data pipeline from the vehicle, storage and archival, cluster management for simulation testing</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Setup of development and deployment platforms, including tools like IDE, build/debug/profiling tools, network troubleshooting tools, and deployment of Docker containers and virtual networks</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Fault tolerant Linux setup with support for real-time processing and automatic failover needed for highly reliable in-vehicle computer configurations</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Implement time synchronization services using ntp/ptp for in-vehicle computers and sensor components </span></p>
</li>
</ul>
<h3>Requirements</h3>
<ul>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">5+ years of experience in Linux scripting, secure server setup and maintenance</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Experience in CI management and deployment tools like Jenkins, Git, Bash etc.</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Experience with scripting (Bash, Python), application development (C/C++, Java), and unit testing (JUnit, GTest, Py.Test/Nose) </span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Experience with static analysis and code coverage tooling such as roslint, cpplint etc. </span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Experience using Debian/Ubuntu Linux OS, containers (Docker/Kubernetes), configuration management using tools such as Vagrant, Chef, Puppet, Ansible, Saltstack, etc.</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Ability to work in a collaborative, fast paced start-up environment </span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">BS or related degree in Computer Science, Information Systems or Robotics</span></p>
</li>
</ul>
<h3>Preferred</h3>
<ul>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Experience in working with processors dedicated for Autonomous Driving like Nvidia’s Drive PX2</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Knowledge of ROS platform</span></p>
</li>
<li style="font-weight: 400;">
<p><span style="font-weight: 400;">Know-how of deep learning/neural network infrastructure </span></p>
</li>
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Senior Devops Engineer, Autonomous Driving

At Ridecell View All Jobs
Milpitas, 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.

An expert DevOps engineer who can take ownership of the setup and maintenance of networking and compute infrastructure of our autonomous driving division. 

The daily tasks include continuous integration and deployment, Docker workspace setup, in-vehicle computer and network setup, data collection infrastructure, process design and workspace setup for developers. 

 

Responsibilities

  • In-vehicle computer and network setup

  • Build and maintain custom servers for deep learning infrastructure 

  • Cloud Infrastructure management including version control, build, integration and deployment servers 

  • Data pipeline from the vehicle, storage and archival, cluster management for simulation testing

  • Setup of development and deployment platforms, including tools like IDE, build/debug/profiling tools, network troubleshooting tools, and deployment of Docker containers and virtual networks

  • Fault tolerant Linux setup with support for real-time processing and automatic failover needed for highly reliable in-vehicle computer configurations

  • Implement time synchronization services using ntp/ptp for in-vehicle computers and sensor components 

Requirements

  • 5+ years of experience in Linux scripting, secure server setup and maintenance

  • Experience in CI management and deployment tools like Jenkins, Git, Bash etc.

  • Experience with scripting (Bash, Python), application development (C/C++, Java), and unit testing (JUnit, GTest, Py.Test/Nose) 

  • Experience with static analysis and code coverage tooling such as roslint, cpplint etc. 

  • Experience using Debian/Ubuntu Linux OS, containers (Docker/Kubernetes), configuration management using tools such as Vagrant, Chef, Puppet, Ansible, Saltstack, etc.

  • Ability to work in a collaborative, fast paced start-up environment 

  • BS or related degree in Computer Science, Information Systems or Robotics

Preferred

  • Experience in working with processors dedicated for Autonomous Driving like Nvidia’s Drive PX2

  • Knowledge of ROS platform

  • Know-how of deep learning/neural network infrastructure 

Apply for the job

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