Principal AI Autonomy Systems Integrator – UAS, SWARMING, C2, EDGE AI

General Dynamics Information Technology

. Integrate autonomy stacks onto UAS, multi-vehicle swarms, and robotic platforms .

Posted 10/12/2026full-timeRemote • United StatesLead💰 $149,469 - $201,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating autonomy stacks and deploying AI/ML models in edge environments, with a strong focus on real-time decision-making and multi-agent coordination. Proficient in programming languages and tools essential for robotics and unmanned systems integration.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingReal-Time Decision-MakingROS/ROS2 ExperienceAI/ML Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Autonomy EngineeringRobotics IntegrationSensor FusionMotion PlanningObstacle AvoidanceDistributed CoordinationEmbedded AI/ML DeploymentData Pipeline DevelopmentAlgorithm OptimizationField Experimentation

Soft Skills

Team TrainingProblem-SolvingCommunication

Tools & Technologies

DockerKubernetes (K3s/RKE2)NVIDIA JetsonGazeboAirSimGitLab CIArgoCDPX4/ArduPilotMAVLinkONNX

Certifications & Qualifications

Top Secret/SCI ClearanceU.S. Citizenship

Industry Keywords

Unmanned SystemsMulti-Agent CoordinationC2 IntegrationISRCounter-UASLogistics AutonomyDegraded Communication WorkflowsEnvironmental StressorsTactical NetworksOpen Architectures

Tech Stack

Tools & technologies

DockerKubernetesPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Integrate autonomy stacks onto UAS, multi-vehicle swarms, and robotic platforms
Implement real-time autonomy pipelines spanning sensing, fusion, planning, and control
Optimize autonomy algorithms for constrained edge environments
Build data pipelines and semantic alignment layers using trusted, structured data
Integrate ontology-driven or schema-governed data models
Enable retrieval-grounded autonomous behaviors
Deploy AI/ML models and autonomy services to edge environments using K3s/RKE2, containers, and bare metal
Harden autonomy for degraded communications, GPS denial, electronic warfare threats, sensor loss, and variable latency
Implement synchronization between edge devices and enterprise/tactical nodes
Conduct field experiments involving unmanned vehicles, swarms, multi-agent behaviors, and C2 workflows
Validate mission-thread performance across detection, tasking, coordination, and operator-in-the-loop behaviors
Integrate agent frameworks for planning, coordination, tasking, and interaction with mission tools and operators
Define safety gates, oversight mechanisms, and deterministic tool-use patterns
Support multi-agent cooperation through standard APIs and interoperable messaging
Integrate autonomous systems with tactical C2 platforms, data links, secure communications, and multi-domain workflows
Implement MOSA, SOSA, CMOSS, and open messaging protocols
Build end-to-end autonomy pipelines from sensing through action execution
Deploy computer vision, tracking, SLAM, pattern-learning, anomaly detection, and cooperative-agent models
Integrate heterogeneous sensors, radios, and payloads with autonomy decision loops
Troubleshoot autonomy software, embedded systems, edge clusters, and C2 interfaces
Translate mission problems into executable autonomy behaviors and scenario-specific workflows
Train teams and mission personnel on configuration, safety, deployment, and best practices

Requirements

What you’ll need

BA/BS or equivalent
10+ years of experience in unmanned systems, autonomy engineering, robotics integration, or embedded AI/ML deployment
Direct experience integrating autonomy into UAS, drones, swarms, robotic vehicles, or similar platforms
Strong proficiency in C++, Python, and real-time/embedded software patterns
Experience with motion planning, cooperative behaviors, obstacle avoidance, distributed coordination, sensor fusion, and real-time decision-making
Experience with ROS/ROS2, PX4/ArduPilot, MAVLink, and simulation tools such as Gazebo and AirSim
Experience with PyTorch, TensorFlow, ONNX, and JAX
Experience with NVIDIA Jetson, VPUs, ruggedized x86 nodes, and tactical accelerators
Experience with Docker, Kubernetes (K3s/RKE2), GitLab CI, and ArgoCD
Knowledge of open architectures, modular interfaces, and secure API design
Experience supporting C2 integration, tactical networks, and degraded-communication workflows
Understanding of ISR, counter-UAS, logistics autonomy, multi-agent coordination, and decision-support mission threads
Experience designing resilient behavior under environmental, adversarial, and operational stressors
U.S. Citizenship required
Top Secret/SCI required to start
Ability to travel 25–50%

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan options
401(k) plan with company match
Full flex work weeks where possible
Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
AI-powered career tool identifying career steps and learning opportunities
Internal mobility team supporting career goals
Growth and professional development opportunities
Award-winning culture of innovation and military-friendly workplace