Lead Robotics Engineer

District of Columbia
US$150000 - US$170000 per annum

Lead Robotics Engineer

Defense

Greater Washington DC Area

$140,000-$170,000

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 a Lead Robotics Engineer, you will be working on artificial intelligence and autonomous robotics projects. You will be a leading a team in an exciting work environment. As a Lead Robotics 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 Lead Robotics 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 $140,000-$170,000

*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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40710-MR6
District of Columbia
US$150000 - US$170000 per annum
  1. Permanent
  2. Robotics & Autonomy

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