Senior Autonomy Engineer

Noda AI Inc.

Job Overview

Location

Austin

Job Type

Full-time

Full Job Description

📋 Description

• 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.

🎯 Requirements

• 6+ 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.

🏖️ Benefits

• Hybrid work environment
• Competitive pay
• Flexible time off
• Generous PTO policy
• Federal holidays
• Generous health, dental, and vision benefits
• Free OneMedical membership
• 401(k)

Skills & Technologies

Python

Senior

Hybrid

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Noda AI Inc.

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About Noda AI Inc.

NODA AI develops orchestration software that enables coordinated autonomy for heterogeneous unmanned systems across air, sea, land, and space with primary applications in defense and national security. Their platform integrates robotics, AI, and systems engineering to provide real-time task allocation, mission planning, and secure communication for multi-agent operations, enabling adaptive decision‑making, explainable agent reasoning, and edge deployment on resource‑constrained hardware for mission-critical environments.

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