Principal AI Autonomy Systems Integrator (UAS / SWARMING / C2 / EDGE AI)

About this role

Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret/SCIPublic Trust/Other Required:
NoneJob Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Artificial Intelligence Technologies, Design, Sensor Fusion, Sensors, Unmanned SystemCertifications:
NoneExperience:
10 + years of related experienceUS Citizenship Required:
YesJob Description:
PRINCIPAL AI AUTONOMY SYSTEMS INTEGRATOR (UAS / SWARMING / C2 / EDGE AI)
Hands‑On Engineering • Autonomous System Integration • Mission‑Thread Enablement
Itegrate autonomy software with real assets, validate behaviors in simulation and field environments, and ensure that autonomous agents act over trusted data, in real time, under real mission pressures.

MISSION & IMPACT
Autonomy Integration & System Engineering

• Integrate autonomy stacks onto UAS, multi‑vehicle swarms, and robotic platforms, including navigation, perception, cooperative behaviors, and distributed decision-making.

• Implement real‑time autonomy pipelines that incorporate sensing, fusion, planning, and control across diverse air/ground systems.

• Adapt and optimize autonomy algorithms for constrained edge environments (embedded systems, GPUs/VPUs, tactical compute nodes).

Data‑ and Knowledge‑Aligned Autonomy

• Build data pipelines and semantic alignment layers so autonomous systems operate against trusted, structured, and meaning‑preserving data representations.

• Integrate autonomy with ontology-driven or schema-governed data models to ensure consistent entity tracking, mission-state representation, and decision context.

• Enable retrieval‑grounded behaviors where autonomous agents act based on authoritative, updated, and fused situational information.

Edge Deployment Across Contested Environments

• Deploy AI/ML models and autonomy services to edge compute environments (K3s/RKE2, containers, bare metal).

• Harden autonomy behaviors for degraded communications, GPS denial, EW threats, sensor loss, and variable latency.

• Implement resilient synchronization patterns between edge devices and enterprise/tactical nodes.

Simulation, Experimentation, and Field Testing

• Conduct structured field experiments with unmanned vehicles, swarms, multi‑agent behaviors, and C2 workflows.

• Validate mission‑thread performance across detection, tasking, coordination, and operator-in-the-loop behaviors.

Agentic Workflow Integration

• Integrate agent frameworks enabling autonomy agents to plan, coordinate, task, and interact with mission tools and human operators.

• Define safety gates, oversight mechanisms, and deterministic tool‑use patterns that support “human‑on‑the‑loop” operations.

• Support multi‑agent cooperation through standard APIs and interoperable messaging patterns.

C2, Networks, and Cross‑Domain Integration

• Integrate autonomous systems with tactical C2 platforms, data links, secure communications, and multi‑domain operational workflows.

• Implement open standards (MOSA, SOSA, CMOSS, open messaging protocols) for plug‑and‑play component integration.

• Enable interoperability across joint, partner‑nation, and coalition environments with appropriate policy controls.

WHAT YOU WILL DO

• Build full autonomy pipelines end‑to‑end, from sensing through action execution.

• Deploy CV, tracking, SLAM, pattern‑learning, anomaly detection, and cooperative‑agent models on real unmanned systems.

• Integrate heterogeneous sensors, radios, and payloads with autonomy decision loops.

• Conduct troubleshooting and rapid problem resolution across 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 system configuration, safety, deployment, and best practices.

REQUIRED EXPERIENCE
Core Background

•
Education: BA/BS or equivalent

•
Experience: 10+ years 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.

Technical Expertise

• Autonomy functions: motion planning, cooperative behaviors, obstacle avoidance, distributed coordination, sensor fusion, and real‑time decision-making.

• Robotics frameworks: ROS/ROS2, PX4/ArduPilot, MAVLink, simulation tools (Gazebo, AirSim, custom environments).

• AI/ML frameworks: PyTorch, TensorFlow, ONNX, JAX.

• Edge compute: NVIDIA Jetson, VPUs, ruggedized x86 nodes, tactical accelerators.

• Containerization and DevSecOps: Docker, Kubernetes (K3s/RKE2), GitLab CI, ArgoCD.

• Interoperability standards: open architectures, modular interfaces, secure API design.

Domain Understanding

• Experience supporting C2 integration, tactical networks, and degraded-communication workflows.

• Understanding of multi‑domain mission threads such as ISR, counter‑UAS, logistics autonomy, multi-agent coordination, and decision-support.

• Experience designing resilient behavior under environmental, adversarial, and operational stressors.

Security Requirements

• U.S. Citizenship required.

• Top Secret/SCI Required to start

DESIRED EXPERIENCE

• Experience with distributed track fusion, detection/classification pipelines, or multi-sensor correlation.

• Familiarity with mission‑partner interoperability and cross‑domain data release patterns.

• Experience implementing provenance, auditability, and safety‑bounded autonomy behaviors.

• Background in private 5G, tactical mesh networking, or mobile operations centers.

WHY THIS ROLE IS UNIQUE
This Principal-level role is tailored for someone who:

•
Builds autonomy that works in real field conditions, not just in demos.

• Bridges AI models, mission data, and real unmanned systems.

• Ensures autonomous behaviors are grounded in trusted,…