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

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Quick Summary

Requirements Summary

Skills:Artificial Intelligence Technologies, Design, Sensor Fusion, Sensors,

Technical Tools

Other

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

None

Job Family:

Data Science and Data Engineering

Requirements

~1 min read

U.S. Citizenship required.
Top Secret/SCI Required to start

25-50%

Artificial Intelligence Technologies, Design, Sensor Fusion, Sensors, Unmanned System

None

10 + years of related experience

Yes

Job Description:

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.

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).

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.

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.

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.

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.

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.

Responsibilities

~1 min read

→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.

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.

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.

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.

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.

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, structured information.
Understands both the engineering and the operational realities of deploying autonomy at scale.
Can integrate across sensors, payloads, compute, C2, and enterprise systems.

You are the person who makes autonomous systems reliable, interoperable, safe, and mission-ready.

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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