gallatin · El Segundo, CA
Skills: Python
ABOUT GALLATIN At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made — not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage. ABOUT THE ROLE We’re hiring an AI Engineer – Routing & Network Optimization to own how supplies, vehicles, and materiel move across Gallatin’s global distribution networks. In this role, you will build the systems that determine how things move through time-phased, capacity-constrained, and risk-aware networks at scale. Your work turns AI-driven intent and operational demand into optimal, executable routes across thousands of assets and nodes. You will work closely with feasibility, packing, optimization, and AI-agent teams to make sure routing decisions are correct, scalable, and resilient under real-world operational volatility. WHAT YOU’LL DO BUILD & OWN ROUTING AND NETWORK MODELS - Design and implement routing models across transportation, warehousing, and resupply networks. - Encode constraints related to: - Distance and time - Availability, readiness, and risk - Asset and lane capacity - Support multi-hop, event-aware, and time-phased routing across dynamic networks. ALGORITHM ENGINEERING & OPTIMIZATION - Implement and tune routing solvers using exact, heuristic, and hybrid algorithms. - Scale routing algorithms to large graphs, real-time updates, and uncertain inputs. - Evaluate tradeoffs between solution quality, runtime, and operational robustness. NETWORK DATA OWNERSHIP - Own routing datasets including nodes, edges, costs, capacities, and constraints. - Validate and maintain network representations used by all routing and planning systems. - Handle data gaps, uncertainty, and changing network conditions without breaking execution. PRODUCTION INTEGRATION - Integrate routing systems into batch and real-…
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