AI/ML Engineer

The role

The AI/ML Engineer will design and implement intelligent agents for adaptive mission planning and orchestration across multi-domain unmanned systems. This role focuses on LLM orchestration frameworks, agent reasoning systems, and deploying AI models to edge computing environments.

What you will do

• Design and implement LLM orchestration frameworks for mission planning and task decomposition
• Develop agent reasoning systems that bridge mission objectives with autonomy commands
• Optimize and quantize language models for deployment on edge computing hardware
• Manage the full lifecycle of AI agents including model versioning and prompt engineering
• Implement human-in-the-loop workflows for explainable AI reasoning
• Integrate AI reasoning outputs with autonomy middleware like ROS 2
• Build evaluation, monitoring, and logging systems to track agent performance
• Develop safe deployment and rollback practices for AI agents
• Collaborate with autonomy engineers to ensure executable and safe plans
• Validate agent behaviors through simulation-in-loop testing

Required qualifications

• 3+ years of experience in production AI/ML applications with emphasis on LLM deployment and orchestration
• Proficiency in Python and modern AI/ML frameworks (PyTorch, Transformers, LangChain, or equivalent)
• Experience with model optimization, quantization, and deployment to edge computing environments
• Understanding of distributed systems and real-time AI inference requirements
• Familiarity with MLOps practices
• Knowledge of prompt engineering, agent framework design, and multi-step reasoning systems
• Experience with constraint solving, planning algorithms, or symbolic reasoning approaches
• U.S. citizenship is required
• Ability to obtain and maintain a DoD security clearance

Nice to have

• Experience with multi-agent coordination frameworks and distributed AI reasoning systems
• Background in robotics or autonomous systems integration (ROS2, navigation stacks, sensor fusion)
• Familiarity with reinforcement learning for planning and decision-making applications
• Understanding of secure coding practices and adversarial robustness in AI-driven systems
• Experience deploying AI models to embedded hardware (Jetson, Raspberry Pi, or similar)
• Exposure to simulation-in-loop and hardware-in-loop testing environments
• Knowledge of autonomous vehicle domains (UAVs, USVs, UUVs) and associated protocols
• Background in structured data preparation and feature engineering for AI ingestion
• Contributions to open-source AI or robotics projects
• Experience contributing to mission assurance and safety cases

Benefits

• Premium medical, dental, and vision coverage with zero paycheck premiums for family
• 401(k) Retirement Savings Plan with Company match
• Equity grants for new hires
• Unlimited PTO
• 11 Paid holidays
• Holiday hiatus in November and December
• Generous Parental Leave
• Military Leave
• FSA, DCFSA, and HSA
• Professional Development Opportunities
• Access to One Medical
• Free 24/7 mental health resources

Before you apply

• U.S. citizenship is required due to ITAR regulations
• Ability to obtain and maintain a DoD security clearance

About the company

NODA is a veteran-owned, venture-backed technology company transforming how unmanned systems collaborate in complex, mission-critical environments. They develop solutions for the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space.