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

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement autonomy features for UAS, drone swarms, robotic platforms, and command and control ecosystems.

• Create real-time decision-making algorithms for navigation, sensor integration, collaborative behaviors, target identification, and mission fulfillment.

• Engineer frameworks for multi-agent coordination focusing on distributed task management, decentralized control, and swarm intelligence.

• Deploy and enhance AI/ML models on embedded edge processors and resource-limited autonomous systems.

• Construct and oversee extensive autonomy simulation environments.

• Perform modeling, simulation, digital-twin validation, hardware-in-the-loop testing, and flight evaluations.

• Integrate autonomous systems with Department of Defense command and control systems, tactical networks, and mission-planning applications.

• Develop APIs and data interfaces to facilitate observability, command execution, and human-machine collaboration.

• Implement cybersecurity measures and design resilience against GPS denial, electronic warfare threats, adversarial conditions, and sensor degradation.

• Lead and mentor teams of AI/ML, robotics, and software engineers.

• Collaborate with program leaders, operators, mission stakeholders, and technical authorities.

• Assess emerging autonomy technologies and spearhead rapid experimentation and prototyping initiatives.

• Develop and sustain autonomy algorithms and pipelines from sensor data ingestion to real-time decision-making.

• Supervise the deployment, monitoring, tuning, and maintenance of autonomous systems.

• Manage the governance, versioning, and auditability of AI/ML models.

• Lead efforts in vulnerability mitigation, patching, survivability enhancements, and DevSecOps/autonomy safety guidance.

⛳️ Requirements

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Aerospace Engineering, or a related STEM field.

• Over 15 years of engineering experience, with substantial work in AI/ML, robotics, UAS autonomy, or multi-agent systems.

• Proven experience in developing autonomy capabilities for unmanned or robotic platforms.

• Expertise in motion planning, path optimization, obstacle avoidance, mapping/SLAM, swarming, and multi-agent coordination.

• Familiarity with PyTorch, TensorFlow, JAX, and ONNX.

• Experience with ROS/ROS2, MAVLink, PX4/ArduPilot, or custom autonomy frameworks.

• Proficiency with simulation tools such as Gazebo, AirSim, FlightGoggles, or similar platforms.

• Experience with NVIDIA Jetson, VPUs, tactical computing nodes, and embedded Linux systems.

• Knowledge of data links, tactical protocols, mesh networks, and publish/subscribe architectures.

• Proficient in Python, C++, real-time systems, containerization, DevSecOps, and CI/CD pipelines.

• Experience with Kubernetes, Helm, GitLab CI, and ArgoCD.

• Familiarity with Terraform, Pulumi, and Ansible.

• Understanding of AI/ML system security and Department of Defense cybersecurity compliance.

• U.S. citizenship is mandatory.

• A current Top Secret clearance is required, with the ability to obtain and maintain TS/SCI clearance.

🏝️ Benefits

• Comprehensive medical plan options, including those with Health Savings Accounts.

• Options for dental plans.

• Vision plan availability.

• 401(k) plan with company matching contributions.

• Flexible work weeks where feasible.

• Paid time off, which encompasses vacation, sick leave, personal time, holidays, paid parental leave, military leave, bereavement leave, and jury duty leave.

• Typically 15 days of paid leave each 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 coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• AI-driven career tool identifying career advancement steps and learning opportunities.

• Support for internal mobility.

• Opportunities for growth, wellness, and professional development.

• Remote work/telecommuting options available.