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Human Factors Engineer

General Atomics Intelligence

Posted today
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Unspecified
Unspecified
Poway, CA (On-Site/Office)
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

Responsible for creating, evaluating, and modifying prototypes to support hardware and software application development

DUTIES & RESPONSIBILITIES
  • May develop user profiles focusing on human error control, display issues, visual interaction, physical manipulation, and task/objective analyses.
  • Develops and applies software design/usability processes to investigate technical problems.
  • Provides product usability, evaluation, and support to product development teams.
  • Analyzes and investigates applications/systems, including tactile methods, visual graphics, web, multimedia, voice response, and conversational user interaction.
  • May assist in developing design concepts and implementation, providing input on user design considerations.
  • May produce specifications describing user requirements and internal structures for products in development.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelors degree in STEM or a related technical discipline from an accredited institution. May substitute equivalent engineering experience in lieu of education.
  • Must have a basic understanding of engineering concepts, principles, and theory.
  • Ability to obtain and maintain a DoD security clearance is required.
group id: 10414685
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About Us
GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!
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