
Principal AI Autonomy Systems Integrator – UAS, SWARMING, C2, EDGE AI
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in United States.
• Integrate autonomy stacks into UAS, multi-vehicle swarms, and robotic platforms.
• Develop real-time autonomy pipelines that encompass sensing, fusion, planning, and control.
• Optimize autonomy algorithms tailored for constrained edge environments.
• Construct data pipelines and semantic alignment layers utilizing reliable, structured data.
• Incorporate ontology-driven or schema-governed data models.
• Facilitate retrieval-grounded autonomous behaviors.
• Deploy AI/ML models and autonomy services to edge environments using K3s/RKE2, containers, and bare metal.
• Strengthen autonomy against degraded communications, GPS denial, electronic warfare threats, sensor loss, and variable latency.
• Implement synchronization between edge devices and enterprise/tactical nodes.
• Conduct 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 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 to action execution.
• Deploy computer vision, tracking, SLAM, pattern-learning, anomaly detection, and cooperative-agent models.
• Integrate diverse sensors, radios, and payloads with autonomy decision loops.
• Troubleshoot autonomy software, embedded systems, edge clusters, and C2 interfaces.
• Translate mission challenges into executable autonomy behaviors and scenario-specific workflows.
• Train teams and mission personnel on configuration, safety, deployment, and best practices.
• BA/BS degree or an equivalent qualification.
• Over 10 years of experience in unmanned systems, autonomy engineering, robotics integration, or embedded AI/ML deployment.
• Direct experience in integrating autonomy into UAS, drones, swarms, robotic vehicles, or comparable 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.
• Familiarity with ROS/ROS2, PX4/ArduPilot, MAVLink, and simulation tools like Gazebo and AirSim.
• Experience with PyTorch, TensorFlow, ONNX, and JAX.
• Experience with NVIDIA Jetson, VPUs, ruggedized x86 nodes, and tactical accelerators.
• Proficient in Docker, Kubernetes (K3s/RKE2), GitLab CI, and ArgoCD.
• Knowledge of open architectures, modular interfaces, and secure API design.
• Experience in 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 in designing resilient behavior under environmental, adversarial, and operational stressors.
• U.S. Citizenship is required.
• Top Secret/SCI clearance is required to start.
• Willingness to travel 25–50%.
• Comprehensive medical plan options, including those with Health Savings Accounts.
• Dental plan options available.
• Vision plan options provided.
• 401(k) plan with company matching contributions.
• Flexible work weeks where possible.
• Paid time off for vacation, sick leave, personal days, holidays, parental leave, military leave, bereavement, and jury duty.
• 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 benefits available.
• Life insurance coverage.
• Accidental death and dismemberment insurance included.
• Personal accident insurance provided.
• Critical illness insurance available.
• Business travel and accident insurance included.
• AI-powered career tool that identifies career steps and learning opportunities.
• Internal mobility team dedicated to supporting career goals.
• Opportunities for growth and professional development.
• Award-winning culture of innovation and a military-friendly workplace.
Revvity
SecureSpace
Veriday
DigitalOcean
Get handpicked remote jobs straight to your inbox weekly.