Autonomy AI/ML Engineer - Edge & Orchestration

Telemetry Today LLC; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Premium benefits

Equity

Unlimited PTO

Military leave

Career growth

Job summary

NODA AI is seeking an AI/ML Engineer in Austin to design intelligent agents for adaptive mission planning across multi-domain unmanned systems. You will specialize in LLM orchestration, agent reasoning, and deploying AI models to edge hardware on autonomous vehicles.

Responsibilities include developing explainable AI, integrating with ROS 2, and ensuring safe, reliable operation in challenging environments. This role requires U.S. citizenship and the ability to obtain a security clearance.

Qualifications

• 3+ years of production AI/ML experience with emphasis on LLM deployment and orchestration.
• Proficiency in Python and modern AI/ML frameworks (PyTorch, Transformers, LangChain, or equivalent orchestration tools).
• 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, including model versioning, monitoring, and lifecycle management.
• 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 and ability to obtain DoD security clearance.

Responsibilities

• Design and implement LLM orchestration frameworks for mission planning and task decomposition across heterogeneous vehicle fleets.
• Develop agent reasoning systems that bridge high-level mission objectives with executable autonomy commands.
• Optimize large and quantize language models and agent frameworks for deployment on edge computing hardware (Jetson, companion computers).
• Manage the full lifecycle of AI agents including model versioning, prompt engineering, tool integration, and memory management.
• Implement human-in-the-loop workflows that provide transparent, explainable AI reasoning to operators.
• Integrate AI reasoning outputs with autonomy middleware (ROS 2) to enable seamless mission execution across heterogeneous platforms.
• Build evaluation, monitoring, and logging systems to track agent performance, reliability, and cost in operational environments.
• Develop safe deployment and rollback practices for AI agents in mission-critical scenarios.
• Collaborate with autonomy engineers to ensure AI-generated plans are executable and safe across multi-domain platforms.
• Validate agent behaviors through simulation-in-loop testing before field deployment.
• Design AI systems that maintain effectiveness in denied, degraded, and contested communication environments.

Skills

LLM deployment

Python

Edge AI

MLOps

Prompt engineering

Distributed systems

Planning algorithms

Tools

ROS 2

Jetson

Raspberry Pi

Transformers

PyTorch

LangChain

Job description

NODA AI is seeking an AI/ML Engineer in Austin to design intelligent agents for adaptive mission planning across multi-domain unmanned systems. You will specialize in LLM orchestration, agent reasoning, and deploying AI models to edge hardware on autonomous vehicles.

Responsibilities include developing explainable AI, integrating with ROS 2, and ensuring safe, reliable operation in challenging environments. This role requires U.S. citizenship and the ability to obtain a security clearance.