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General Atomics Aeronautical Systems · 1 day ago

AI Battle Management Lead

Poway, CA

Full-time

Onsite

Senior Level, Lead/Staff

$141K/yr - $252K/yr

10+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a leader in remotely piloted aircraft and advanced surveillance systems. The Principal AI Battle Management Lead will guide the architecture and deployment of AI-enabled battle management systems, interfacing with senior government customers and leading cross-functional teams in developing autonomous mission execution capabilities.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

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

Interface directly with senior government customers, DARPA, AFRL, and DIU to translate mission needs into executable autonomy architectures

Provide capture and proposal support, including shaping technical volumes, white papers, and executive-level presentations

Partner with industry and academic collaborators to bring cutting-edge AI research into operational prototypes

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

Ensure compliance with ITAR, export control, cybersecurity, and DoD acquisition regulations

Qualification

AI-enabled battle managementMulti-agent autonomyReinforcement learningDeep learningDecision-theoretic planningPythonC++JavaPyTorchTensorFlowKubernetesDockerAWS/Azure GovCloudLeadershipCommunication skillsInterpersonal skills

Required

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 bachelors degree, thirteen or more years of experience with a masters 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

Expertise in reinforcement learning, multi-agent coordination, deep learning, probabilistic reasoning, and decision-theoretic planning

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

Strong leadership, communication, and interpersonal skills to inspire teams and build trusted relationships with customers

Hands-on expertise in: Languages: Python, C++, Java, or equivalent; Frameworks: PyTorch, TensorFlow, Ray RLlib, or equivalent; Data/AI Tools: Scikit-learn, Pandas, NumPy, JAX; Simulation/Integration: NTGS, AFSIM, or similar; Cloud/DevOps: Kubernetes, Docker, AWS/Azure GovCloud; MLOps/DevSecOps: MLflow, GitLab CI/CD, secure software pipelines

Ability to obtain and maintain a Top Secret / SCI security clearance is required (active clearance strongly preferred)