Autonomous Systems Engineer

District of Columbia
US$130000 - US$150000 per annum

Autonomous Systems Engineer
Defense

Greater Washington DC Area
$130,000-$150,000

THE COMPANY

This industry leading company develops autonomous vehicles and robotics for the defense industry. This company is looking for an experienced engineer to join their well-established robotics team. This team works on some of the most state-of-the-art technology and focuses on robotics, autonomy, and unmanned systems.

THE ROLE

As an Autonomous Systems Engineer, you will be working on artificial intelligence and autonomous robotics projects. You will be working with a team in an exciting work environment. As an Autonomous Systems Engineer some responsibilities include:

  • Building algorithms in C++ or Python
  • Develop and design autonomous vehicles
  • Using SLAM to help the autonomous vehicles perceive their surroundings
  • Experience implementing algorithms and improving autonomous systems
  • Develop and execute research on artificial intelligence and autonomy

EXPERIENCE REQUIRED

A successful Autonomous Systems Engineer will have the following experience and skills:

  • US Citizen and previous or current security clearance required
  • Real world industry experience in working within the defense industry
  • Strong background and experience in robotics, computer vision, artificial intelligence, and machine learning
  • Heavy Software engineering experience using Python or C++
  • Master's or bachelor's degree - Computer Science or related
  • Experience working with TensorFlow, SLAM and LIDAR

THE BENEFITS

A competitive base salary of $130,000-$150,000

*Be part of a creative and fast-growing team*

HOW TO APPLY

Please register your interest by sending your résumé to Mitchell Resor via the Apply link on this page.

KEYWORDS:

| Computer Vision | Engineer | Deep Learning | C++ | Python | TensorFlow | ROS | Object Detection | Robot | Autonomous | Robotics | Defense | UAV |

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20303-MR
District of Columbia
US$130000 - US$150000 per annum
  1. Permanent
  2. Robotics & Autonomy

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