1 day ago
Austin, TX, USAMid Level
Responsibilities
- Design and implement LLM orchestration frameworks for mission planning and task decomposition across heterogeneous vehicle fleets.
- Develop agent reasoning systems that connect mission objectives with executable autonomy commands.
- Optimize and quantize language models and agent frameworks for deployment on Jetson and other edge computing hardware.
- Manage AI agent lifecycles, including model versioning, prompt engineering, tool integration, and memory management.
- Implement transparent, explainable human-in-the-loop workflows for operators.
- Integrate AI reasoning outputs with ROS 2 autonomy middleware for mission execution.
- Build evaluation, monitoring, and logging systems for agent performance, reliability, and cost.
- Develop safe deployment and rollback practices for mission-critical AI agents.
- Collaborate with autonomy engineers to ensure AI-generated plans are executable and safe.
- Validate agent behaviors through simulation-in-loop testing before field deployment.
- Design AI systems for denied, degraded, and contested communication environments.
Requirements
- At least 3 years of production AI/ML application experience focused on LLM deployment and orchestration.
- Proficiency in Python and modern AI/ML frameworks such as PyTorch, Transformers, and LangChain or equivalent 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, 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.
- U.S. citizenship is required due to ITAR regulations, along with the ability to obtain and maintain a DoD security clearance.
- Preferred experience includes multi-agent coordination, robotics or autonomous systems integration, ROS 2, navigation stacks, sensor fusion, reinforcement learning, secure coding, adversarial robustness, embedded hardware, simulation-in-loop or hardware-in-loop testing, autonomous vehicle domains, structured data preparation, open-source AI or robotics, mission assurance, safety cases, and security or compliance collaboration.
Benefits
- Premium medical, dental, and vision coverage with zero paycheck premiums for employees and families.
- 401(k) retirement savings plan with company match.
- Equity grants for new hires.
- Unlimited PTO and 11 paid holidays, plus an extended holiday calendar and holiday hiatus.
- Generous parental leave and military leave.
- FSA, DCFSA, and HSA benefits.
- Professional development opportunities.
- Access to One Medical.
- Free 24/7 mental health resources, therapy, and work-life services including legal and financial support.
- Hybrid on-site work in Austin, Texas, with up to 20% travel.
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About NODA AI
NODA AI builds autonomy-orchestration software that coordinates heterogeneous unmanned systems across air, sea, land, and space for defense, intelligence, and select commercial users. The company offers mission-planning and multi-agent control tools that bridge AI-driven intent and real-world execution on UAVs, USVs, and UUVs in contested environments. Founded in 2024 and headquartered in Austin, Texas, it is a privately held, venture-backed, veteran-owned defense technology company.