AI Autonomy Engineering SME, UAS, Swarming, C2, Drones

General Dynamics Information Technology

. Design, architect, and implement autonomy capabilities for UAS, drone swarms, robotic platforms, and C2 ecosystems .

Posted 10/12/2026full-timeRemote • United StatesSeniorLead💰 $170,144 - $218,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing autonomy capabilities for UAS and robotic platforms, with a strong focus on AI/ML model development, multi-agent coordination, and real-time decision-making algorithms. Proficient in integrating autonomous systems with DoD C2 systems and ensuring compliance with cybersecurity standards.

Highest-signal resume keywords

AI/ML Model DevelopmentUAS AutonomyMulti-Agent CoordinationRobotics EngineeringCybersecurity Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Motion PlanningPath OptimizationObstacle AvoidanceMapping/SLAMSwarmingPythonC++Real-Time SystemsContainerizationDevSecOps

Soft Skills

LeadershipCollaborationMentoring

Tools & Technologies

PyTorchTensorFlowROS/ROS2GazeboNVIDIA JetsonKubernetesTerraformAnsibleGitLab CIArgoCD

Certifications & Qualifications

Top Secret ClearanceTS/SCI Eligibility

Industry Keywords

UASRobotic PlatformsC2 SystemsTactical NetworksDigital Twin ValidationHardware-in-the-Loop TestingAI/ML System SecurityDoD ComplianceSwarm IntelligenceResource-Constrained Platforms

Tech Stack

Tools & technologies

AnsibleCyber SecurityKubernetesLinuxPythonPyTorchTensorflowTerraformTypeScriptC++

About the role

Key responsibilities & impact

Design, architect, and implement autonomy capabilities for UAS, drone swarms, robotic platforms, and C2 ecosystems
Develop real-time decision-making algorithms for navigation, sensor fusion, cooperative behaviors, target recognition, and mission execution
Engineer multi-agent coordination frameworks for distributed tasking, decentralized control, and swarm intelligence
Deploy and optimize AI/ML models on embedded edge processors and resource-constrained autonomous platforms
Build and manage large-scale autonomy simulation environments
Conduct modeling, simulation, digital-twin validation, hardware-in-the-loop testing, and flight testing
Integrate autonomous platforms with DoD C2 systems, tactical networks, and mission-planning tools
Develop APIs and data interfaces for observability, command execution, and human-machine teaming
Apply cybersecurity controls and engineer resilience against GPS denial, EW threats, adversarial conditions, and sensor degradation
Lead and mentor AI/ML, robotics, and software engineers
Collaborate with program leaders, operators, mission owners, and technical authorities
Evaluate emerging autonomy technologies and drive rapid experimentation and prototyping
Develop and maintain autonomy algorithms and pipelines from sensor ingestion through real-time decision-making
Oversee deployment, monitoring, tuning, and sustainment of autonomous platforms
Manage AI/ML model governance, versioning, and auditability
Lead vulnerability mitigation, patching, survivability improvements, and DevSecOps/autonomy safety guidance

Requirements

What you’ll need

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Aerospace Engineering, or similar STEM discipline
15+ years of engineering experience, including significant work in AI/ML, robotics, UAS autonomy, or multi-agent systems
Demonstrated experience developing autonomy capabilities for unmanned or robotic platforms
Expertise in motion planning, path optimization, obstacle avoidance, mapping/SLAM, swarming, and multi-agent coordination
Experience with PyTorch, TensorFlow, JAX, and ONNX
Experience with ROS/ROS2, MAVLink, PX4/ArduPilot, or custom autonomy stacks
Experience with Gazebo, AirSim, FlightGoggles, or equivalent simulation tools
Experience with NVIDIA Jetson, VPUs, tactical compute nodes, and embedded Linux
Experience with data links, tactical protocols, mesh networks, and publish/subscribe architectures
Proficiency in Python, C++, real-time systems, containerization, DevSecOps, and CI/CD pipelines
Experience with Kubernetes, Helm, GitLab CI, and ArgoCD
Experience with Terraform, Pulumi, and Ansible
Knowledge of AI/ML system security and DoD cybersecurity compliance
U.S. citizenship required
Current Top Secret clearance required, with ability to obtain and maintain TS/SCI

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with company match
Full flex work weeks where possible
Paid time off, including vacation, sick, personal time, holidays, paid 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 support
Growth, wellness, and professional development opportunities
Remote work / telecommuting option