AI Autonomy Engineering SME
Core
Design, architect, and implement autonomy capabilities for UAS, drone swarms, robotic platforms, and C2 ecosystems, including real-time navigation, sensor fusion, and multi-agent coordination.
Role type
Senior AI Autonomy Engineering SME (Defense/Robotics)
Builds
Resilient autonomy solutions for GPS denial, electronic warfare, and adversarial conditions on embedded edge processors.
Domain
Defense, Aerospace, Robotics
Deliverable
production ML models
Required skills
Motion planning, path optimization, obstacle avoidance, mapping/SLAM, swarming, multi-agent coordination, real-time systems engineering, embedded Linux, AI/ML model governance, cybersecurity, DevSecOps
Preferred skills
Advanced degree in STEM, experience with tactical protocols and mesh networks
Technologies
PyTorch, TensorFlow, JAX, ONNX, ROS/ROS2, MAVLink, PX4/ArduPilot, Gazebo, AirSim, NVIDIA Jetson, VPUs, Kubernetes, Helm, GitLab CI, ArgoCD, Terraform, Pulumi, Ansible
Responsibilities
Develop real-time algorithms for navigation and mission execution; Deploy and optimize AI/ML models for real-time inference on edge processors; Build simulation and hardware-in-the-loop environments for validation; Integrate autonomy software with DoD C2 systems and tactical networks; Lead vulnerability mitigation, patching, and cybersecurity improvements; Mentor AI/ML, robotics, and software engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities