Autonomy Engineer

KEYW   •  

Dayton, OH

Industry: Software


Not Specified years

Posted 267 days ago

This job is no longer available.

Job Description:

Support the development of autonomous solutions for sensing applications.  Generate new computational solutions to provide vehicles with the capability to introduce sensors into difficult environments with minimal or no human support or control.  Create new software to facilitate automatically manipulating and exploit sensor data. 


Skills and Qualifications:


  • Experience with common Artificial Intelligence (AI) techniques
  • Comfortable with basic and advanced mathematics, especially logic, algebra, differential equations, Fourier methods, and probability
  • Basic computer programming skills
  • Strong writing skills
  • Excellent logic and thinking skills
  • Demonstrated quick learner


  • Understanding of Convolutional Neural Networks
  • Understanding of generative techniques, both neural and other
  • Understanding of Cognitive Architectures.
  • Theoretical bases for artificial intelligence, machine learning, and autonomy
  • Demonstrated advanced mathematical expertise, especially derivations of algorithms or synthesis of controllers
  • Filter design and implementation
  • Mathematical programming experience, especially optimization and simulation
  • C++, Java, Python, CUDA, Open MP, or Intel Intrinsic experience
  • Experience with MATLAB
  • Real time and embedded systems expertise
  • Experience with particular machine learning software packages, such as Café, Torch, or Theano
  • Experience with AI software packages
  • Robotics experience, especially robots within uncontrolled or adversarial environments
  • Experience with military doctrine, needs, requirements, methods, tactics, or platforms
  • Basic understanding of computer networking and of neutral messaging tools, such as JSON and Google Protobuf
  • Experience with Sensor processing or exploitation, especially SAR, EO, and IR

Degree:Degree or graduate degree in engineering or science.

ID 2018-17398