NODA AI
AI/ML Engineer
Austin · Principal
No sponsorshipDetected 250 days ago
PythonDistributed SystemsAlgorithmsMachine LearningPyTorchNLPLLMsAgentic AIMLOpsAI OrchestrationCybersecurityRoboticsSensorsCommunicationAdaptability
About the role
- This role focuses on LLM orchestration frameworks, agent reasoning systems, and the deployment of AI models to edge computing environments on autonomous vehicles.
- Your work will integrate directly with our ROS autonomy stack while ensuring reliable AI performance on resource-constrained edge hardware.
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
- 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
Requirements
- 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 orchestration tools)
- Experience with model optimization, quantization, and deployment to edge computing environments
- Familiarity with MLOps practices, including model versioning, monitoring, and lifecycle management
- Experience with constraint solving, planning algorithms, or symbolic reasoning approaches
- U.S. Citizenship with the ability to obtain a security clearance
- U.S. Citizen with the ability to obtain a security clearance
Nice to have
- Experience with multi-agent coordination frameworks and distributed AI reasoning systems
- Background in robotics or autonomous systems integration (ROS2ROS 2, navigation stacks, sensor fusion)
- understanding of secure coding practices and adversarial robustness in AI-driven systems.
- Experience deploying AI models to embedded hardware (Jetson, Raspberry Pi, or similar edge devices)
- 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
Skills
- Systems thinker able to connect AI reasoning outputs with real-world autonomous execution
- Fast learner with adaptability to rapidly evolving AI/ML frameworks and methodologies
- Safety-focused mindset with commitment to explainable, reliable AI in mission-critical environments
- Thrives in ambiguous, mission-driven problem spaces requiring creative AI solutions
- Collaborative team player comfortable working across AI, autonomy, and field operations disciplines
- Detail-oriented approach to AI system validation, testing, and performance optimization
- Hybrid work environment
- Competitive pay
- Flexible time off
- Generous PTO policy
- Federal holidays
- Generous health, dental, and vision benefits insurance
Company info
- We are seeking an AI/ML Engineer to design and implement intelligent agents that drive adaptive mission planning and orchestration across multi-domain unmanned systems.
Equal opportunity
- We are an Equal Opportunity Employer and welcome applicants from all backgrounds.
- All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.
Visa & Work Authorization
- Citizen with the ability to obtain a security clearance
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This listing is sourced directly from NODA AI's careers page and normalized into a canonical job model.