AI/ML Engineer - ELSYS - Colorado Springs, CO - (Open Rank)

The Georgia Tech Research Institute (GTRI) is a nonprofit applied research division of the Georgia Institute of Technology. They are seeking an AI/ML Engineer to support the United States Space Force's Space Systems Command, focusing on developing and integrating AI capabilities for space operations through advanced data infrastructures and simulation environments.

Responsibilities:

• Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.)
• Lead a team of engineers responsible for system deployment
• Develop novel algorithms and methodologies
• Engage with sponsors to understand and meet system requirements
• Serve as the primary author on technical reports and proposals
• Bridge the gap between high-fidelity space simulation environments, AI training workflows, and live systems (e.g., NVIDIA-based digital twin environments) to operationalize AI in widely interoperable test, training, and operational contexts
• Architect and develop API abstraction layers to consolidate and streamline data access across disparate relational, graph, and simulation data services for downstream AI/ML applications
• Design and implement semantic ontologies and data models to standardize complex military datasets, such as the Unified Data Library (UDL), and to enable seamless integration with AI and Large Language Model (LLM) capabilities and orchestration frameworks (e.g., Model Context Protocol)
• Build, optimize, and maintain robust data pipelines that connect live space data sources, UDL datasets, and simulation environments, including ingestion, knowledge graph development, transformation, and vectorization to support Retrieval-Augmented Generation (RAG) and other AI inference workflows
• Translate legacy data systems and unstructured data stores into interoperable, AI-ready formats that can both drive and be driven by physics-based simulations in support of OTTI initiatives
• Develop and maintain comprehensive technical documentation for data schemas, API endpoints, simulation-AI integration patterns, and AI system interoperability frameworks
• Evaluate and integrate emerging commercial and open-source simulation, AI, and data engineering technologies into secure DoD/USSF environments, in coordination with OTTI stakeholders and system architects