Job was saved successfully.
Job was removed from Saved Jobs.

Job Details

Systems Engineer ( R-00078447-OTHLOC-PL-2D0039 )


Systems Engineer



Alexandria, Virginia, United States


Job Description:

The AMO Division of the Airborne Solutions Organization has an immediate opening for a Systems Engineer!

This position is responsible for assisting several Modeling and Simulation (M&S) algorithms from various performers and they should be able build, test, and validate image collection systems and processing and dissemination computer algorithms for the entire system to deploy an operational capability to the end-user.

You will work with other engineers, software developers, and customer personnel to understand requirements and create M&S algorithms. The position is full-time at NASIC and requires a TS/SCI (with poly).

Primary Responsibilities

  • Assist with analyzing and development of geospatial solutions and product specifications

  • Research, design, develop, and verify image collection systems

  • Develop requirements analysis and sub-system architectures and integrate new image processing technology systems

  • Analyze the design and development of systems and algorithms for the extraction of information from sensors.

Basic Qualifications

  • Four (4) years of experience and a BA/BS degree. In place of the degree, may substitute eight (8) years of relevant work experience.

  • Experience developing C++ , Python and CUDA kernels extensions for custom network components and evaluation metrics

  • Experience creating custom deep neural network components and new performance metrics

  • Experience designing and executing experiments utilizing overhead imagery

  • Knowledge of Docker and Singularity for the execution of environments for experiments across compute architectures domains

  • Ability to deploy models created by the team on various partner platforms for evaluation and feedback

  • Knowledge of DoD or IC architectures and collection capabilities

  • Ability to demonstrate ingenuity, resourcefulness, and application of highly advanced technologies, scientific principles, theories, and concepts

Preferred Qualifications

  • Experience with working with the intelligence cycle preferred

  • Knowledge of intelligence authorities and programs, the principles of intelligence oversight

Pay Range: