Autonomy AI Engineer

Autonomy AI Engineer – NODA AI

Location: Austin, TX (Hybrid on-site, with up to 20% travel)
Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance

About NODA

NODA is a veteran-owned, venture-backed technology company transforming how unmanned systems collaborate in complex, mission-critical environments. Our distributed orchestration platform enables autonomous coordination of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors.

We are building the autonomy layers that allow vehicles from multiple domains to operate in synchronized, adaptive, and resilient ways. Our autonomy engineers bridge the gap between high-level AI-driven mission intent and real-world execution across UAVs, USVs, and UUVs operating in contested and dynamic environments.

The Role

We are seeking an Autonomy AI Engineer to design and implement the autonomy stack that powers adaptive multi-vehicle orchestration. This role focuses on mission planning, path generation, behavior execution, and task allocation across heterogeneous fleets.

You will work at the intersection of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems, ensuring mission intent can be reliably executed and adapted in real-world conditions. Success in this role requires strong technical foundations in robotics, practical systems thinking, and a passion for delivering robust autonomy where reliability is non-negotiable.

Key Responsibilities

• Design and implement autonomy modules including path planning, task allocation, behavior trees, and reactive execution models.

• Develop and maintain the autonomy framework that integrates with orchestration (AI-driven mission planning) and world modeling.

• Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.

• Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.

• Profile and optimize autonomy performance for edge compute hardware (Jetson, Raspberry Pi-class devices).

• Conduct simulation-in-loop and hardware-in-loop testing to validate autonomy behaviors before live field deployment.

• Contribute to safety, reliability, and compliance practices for autonomy in defense-relevant missions.

• Collaborate across AI, networking, and systems engineering teams to ensure seamless orchestration of multi-vehicle operations.

Required Qualifications

• 3+ years experience developing autonomy or robotics systems.

• Proficiency in C++ and Python for real-time autonomy development.

• Strong hands-on experience with ROS2 and robotics middleware.

• Background in motion planning, navigation, and control systems.

• Experience with state estimation, sensor fusion, and autonomy validation.

• Familiarity with behavior trees, task allocation, or symbolic planners.

• Knowledge of simulation environments (Gazebo, Isaac Sim, AirSim, or equivalent).

• U.S. Citizenship with ability to obtain a clearance.

Preferred Qualifications

• Experience with multi-agent coordination and swarm robotics.

• Exposure to autonomous vehicle domains (UAVs, UUVs, USVs).

• Familiarity with MAVLink, JAUS, or STANAG 4586 protocols.

• Background in AI planning, reinforcement learning, or constraint solvers.

• Experience optimizing autonomy for embedded/real-time performance.

• Prior exposure to defense or aerospace autonomy systems.

• Contributions to open-source robotics or autonomy projects.

Skills & Attributes

• Systems thinker: able to connect autonomy layers with AI reasoning and orchestration.

• Strong problem-solving and debugging skills in both simulation and field environments.

• Cross-disciplinary collaborator, comfortable working with AI, networking, and data engineering teams.

• Thrives in ambiguous, mission-driven problem spaces.

• Detail-oriented and safety-focused, with commitment to reliable autonomy in critical missions.

What We Offer

• Hybrid work environment

• Competitive pay

• Flexible time off

• Generous PTO policy

• Federal holidays

• Health, dental, and vision insurance

• Free OneMedical membership

Growth Path at NODA

• Senior Autonomy Engineer – lead development of autonomy modules and mentor engineers.

• Staff/Principal Engineer – drive cross-domain autonomy integration, standards, and frameworks.

• Autonomy Lead – own the autonomy stack and guide integration with AI-driven orchestration at scale.

We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.