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

Job Description:

• 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:

• 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:

• 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