WHO WE ARE:

The Strategic Aerospace Department Office of the Director provides guidance and direction to a multi-disciplinary team of engineers that provides cutting edge engineering development services to the USAF.

REQUIREMENTS:

• Requires a Masters or a PhD in Mechanical Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, Systems Engineering, Physics or directly related degree field with a focus on UAS, Avionics, AI, and or ML.
• Advanced degrees will be considered in lieu of some years of experience.
• 12+ years: Lead Development of firmware for AI solutions
• 12+ years: Machine Learning as applied to Data Science and technology.
• 12+ years: Leading AI and other software using Python, Tensor Flow, Keras, and PyTorch.
• A valid/clear driver’s license is required.

SPECIAL REQUIREMENTS:

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
An Equal Employment Opportunity/Affirmative Action Employer
Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran
Committed to Diversity in the Workplac

OBJECTIVES OF THIS ROLE:

• Lead Development of advanced proven Physics-based AI/ML algorithms/models.
• Support innovating/cutting edge research in the areas of AI as applied to System and or UAS/Avionics subsystems.
• Be the system architect for AI development.
• Manage and Lead a multidisciplinary staff (scientists, analysists and engineers) to delivery cutting edge AI solutions to programs.
• Write proposals, articles, and attend conferences.
• Train and mentor junior AI staff.

DAILY AND MONTHLY RESPONSIBILITIES:

• Lead Solutions for AI systems and embedded Avionics systems and subsystems.
• Lead Solutions for Aircraft AI/ML sensor fusion.
• Review AI/ML Architectures/algorithms to verify/validate it meets integrated design requirements that have been developed by new- mid level AI staff.
• Manage all AI progress on projects and research.
• Lead Integration with a multidisciplinary engineering team to develop AI related hardware.