GA-ASI is looking to develop and deploy AI-enabled battle management systems for unmanned and collaborative combat aircraft, aiming to enhance autonomous mission execution and decision-support capabilities for the U.S. Department of War, aligning with JADC2 and CCA initiatives.
Requirements
- Expertise in reinforcement learning, multi-agent coordination, deep learning, probabilistic reasoning, and decision-theoretic planning.
- Hands-on expertise in: Languages: Python, C++, Java, or equivalent
- Hands-on expertise in: Frameworks: PyTorch, TensorFlow, Ray RLlib, or equivalent
- Hands-on expertise in: Data/AI Tools: Scikit-learn, Pandas, NumPy, JAX
- Hands-on expertise in: Simulation/Integration: NTGS, AFSIM, or similar
- Hands-on expertise in: Cloud/DevOps: Kubernetes, Docker, AWS/Azure GovCloud
- Hands-on expertise in: MLOps/DevSecOps: MLflow, GitLab CI/CD, secure software pipelines.
Responsibilities
- Set the technical vision and roadmap for AI-enabled battle management systems, aligning GA-ASI autonomy solutions with DoD Joint All-Domain Command and Control (JADC2) and Collaborative Combat Aircraft (CCA) initiatives.
- Lead cross-functional engineering teams in developing and integrating multi-agent autonomy, real-time decision-support, and adaptive mission planning capabilities.
- Serve as principal investigator and program lead for advanced R&D efforts in AI/ML for battle management.
- Establish best practices for DevSecOps, MLOps, and mission assurance in autonomy software development.
- Guide testing and evaluation strategies, including simulation, SIL/HIL, and flight demonstrations of AI-driven battle management capabilities.
- Mentor and grow technical talent across the autonomy and AI teams.
- Develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
Other
- Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or related discipline and progressive software development experience as follows; fifteen or more years of experience with a bachelor's degree, thirteen or more years of experience with a master's degree, or ten or more years with a PhD. May substitute equivalent experience in lieu of education.
- Demonstrated track record leading development of battle management systems, C2 decision-support, or collaborative autonomy architectures in defense/aerospace.
- Strong customer-facing experience: ability to present to senior DoD stakeholders, influence CONOPS development, and shape technology roadmaps.
- Proven success in capture and proposal efforts, including technical volume authorship and program strategy.
- Ability to obtain and maintain a Top Secret / SCI security clearance is required (active clearance strongly preferred).
