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General Dynamics Information Technology
General Dynamics Information Technology
H1B Visa SponsorConsultingHealthcareLogistics
General Dynamics Information Technology (GDIT) provides consulting, digital modernization, and application services for government and defense organizations. Its work spans artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies, alongside mission-critical programs in logistics and supply chain management, intelligence, and homeland security. The company also operates across consulting, healthcare, and logistics, with hiring efforts that emphasize diverse teams and employee well-being. GDIT’s roles may suit professionals interested in applying emerging technologies to complex public-sector and national-security challenges.
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Principal AI Autonomy Systems Integrator

Lead the integration of autonomous AI systems across unmanned aircraft, vehicle swarms, edge platforms, and command-and-control environments. At General Dynamics Information Technology, connect mission workflows with resilient autonomy, AI/ML models, and tactical systems.

USUnited States
$149,469 – $201,250 / year
RemoteFull-timeLeadEnglish RequiredArtificial Intelligence
C++DockerKubernetesPythonPyTorchTensorflow

Description

  • Integrate autonomous systems on unmanned aircraft, vehicle swarms, and robotic platforms.
  • Develop real-time autonomy pipelines covering sensing, data fusion, planning, and control.
  • Adapt autonomy algorithms for resource-constrained edge environments.
  • Create trusted data pipelines and semantic alignment layers using structured data.
  • Integrate ontology-based and schema-governed data models.
  • Enable autonomous behaviors grounded in retrieved information.
  • Deploy AI/ML models and autonomy services to edge systems using K3s/RKE2, containers, and bare metal.
  • Improve system resilience to disrupted communications, GPS denial, electronic warfare, sensor loss, and variable latency.
  • Synchronize edge devices with enterprise and tactical nodes.
  • Run field experiments with unmanned vehicles, swarms, multi-agent behaviors, and command-and-control workflows.
  • Assess mission-thread performance across detection, tasking, coordination, and operator-supervised behaviors.
  • Integrate agent frameworks for planning, coordination, tasking, and interaction with mission tools and operators.
  • Establish safety gates, oversight mechanisms, and deterministic tool-use patterns.
  • Enable multi-agent cooperation through standard APIs and interoperable messaging.
  • Connect autonomous systems to tactical command-and-control platforms, data links, secure communications, and multi-domain workflows.
  • Implement MOSA, SOSA, CMOSS, and open messaging protocols.
  • Develop complete autonomy pipelines from sensing through action execution.
  • Deploy computer vision, tracking, SLAM, pattern-learning, anomaly-detection, and cooperative-agent models.
  • Connect varied sensors, radios, and payloads to autonomy decision loops.
  • Diagnose issues across autonomy software, embedded systems, edge clusters, and command-and-control interfaces.
  • Turn mission needs into executable autonomous behaviors and scenario-specific workflows.
  • Train teams and mission personnel in configuration, safety, deployment, and best practices.

Requirements

  • Bachelor’s degree or equivalent.
  • At least 10 years of experience in unmanned systems, autonomy engineering, robotics integration, or embedded AI/ML deployment.
  • Hands-on experience integrating autonomy into UAS, drones, swarms, robotic vehicles, or comparable platforms.
  • Strong C++ and Python skills, with experience in real-time and 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 command-and-control integration, tactical networks, and degraded-communications 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 stress.
  • U.S. citizenship.
  • Top Secret/SCI clearance required at start.
  • Ability to travel 25–50%.

Benefits

  • Medical plan options, including plans with Health Savings Accounts.
  • Dental plan options.
  • Vision plan options.
  • 401(k) plan with company match.
  • Flexible 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 annually.
  • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • AI-powered career tool for identifying career steps and learning opportunities.
  • Internal mobility team to support career goals.
  • Professional growth and development opportunities.
  • Recognized culture of innovation and a military-friendly workplace.

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