Autonomy Engineer, AI

Noda

full-time

Posted on: 3/28/2026

Location Type: Hybrid

Location: Austin • Texas • United States

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About the role

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.

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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C++PythonROS2motion planningnavigationcontrol systemsstate estimationsensor fusionautonomy validationbehavior trees