Mission Autonomy Project Engineer

Duties & Responsibilities

• Responsible for leadership of the engineering team for assigned ISR Mission Autonomy projects and/or programs.
• Build and lead multi-disciplinary teams to architect, integrate, and field practical system-of-systems solutions for cutting edge Unmanned Aerial Systems (UAS) on schedule.
• Collaborate across the company and customer communities as required to support the successful definition, capture and execution of ISR Mission Autonomy projects and/or programs.
• Maintain cognizance over engineering activities across assigned product line(s) and ensure integration of best engineering practices from across the company.

Qualifications

• Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; twelve or more years of experience with a bachelors degree, ten or more years of experience with a masters degree, or seven or more years with a PhD.
• May substitute equivalent engineering experience in lieu of education.
• Demonstrated Experience (Required):
• Leadership of multi-disciplinary teams to architect, integrate, and field practical system-of-systems solutions for cutting edge Unmanned Aerial Systems (UAS) on schedule.
• Using Systems Engineering principles and practices to drive efficient delivery of systems-of-systems solutions to complex problems.
• Leading the development and delivery of system-of-systems solutions that involved significant Software Engineering scope.
• Cost Account Manager (CAM) using the Earned Value Management System (EVMS).
• Supporting the development and submission of new program proposals.
• Demonstrated Experience in these areas is highly desirable:
• Leadership in the design, integration and test of Automation, Autonomy and/or Artificial Intelligence solutions for Unmanned Aerial Systems (UAS).
• Link-16 integration solutions for Unmanned Aerial Systems (UAS).
• Multi-INT sensor data fusion and/or Automatic Target Recognition (ATR).
• AI/ML Pipeline development and execution for computer vision models.
• Experience working directly with GA-ASI Unmanned Aerial Systems (UAS) platforms and their external interfaces, including understanding of critical integration points for MQ-9, MQ-1, and Avenger systems is highly desirable.
• Ability to obtain and maintain a DoD Secret Clearance is required.
• Ability to obtain a TS/SCI Clearance is highly desirable.