AI Engineer – Routing & Network Optimization

Gallatin AI, Inc.; El Segundo (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous equity

100% employer-paid health insurance

401(k) plan

Unlimited PTO

Catered meals

Job summary

A leading defense logistics company in California is seeking an AI Engineer specializing in Routing & Network Optimization. In this role, you'll develop systems for effective supply movement across complex networks by implementing and refining algorithms. Candidates should possess strong programming skills in Python and a solid background in operations research. This position offers competitive compensation including equity and extensive benefits. If you're passionate about shaping logistics for modern defense, we want to hear from you.

Qualifications

• Experience integrating routing or optimization algorithms into live planning pipelines.
• Hands-on experience with modeling languages and solvers.
• Ability to reason about scale, uncertainty, and time-dependent systems.

Responsibilities

• Design and implement routing models across networks.
• Implement and tune routing solvers using various algorithms.
• Integrate routing systems into real-time planning pipelines.

Skills

Strong programming skills in Python

Experience with optimization algorithms

Systems thinking

Strong foundation in graph theory

Education

Degree in Operations Research, Applied Math, or related field

Tools

Pyomo

GAMS

AMPL

CPLEX

Gurobi

Job description

Overview

AI Engineer – Routing & Network Optimization

About Gallatin
At Gallatin, we are rebuilding defense logistics for the warfighters of the United States and allied forces. We take an AI-first approach to modernizing how materiel, fuel, and equipment move from factory to foxhole—so commanders and operators can make faster, better, and safer decisions under uncertainty. We believe that transformational systems are built shoulder-to-shoulder, not over Zoom, and we operate from our offices in El Segundo, California and Austin, Texas.

About The Role

We’re looking for 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 transforms 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 ensure 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
  • Asset and lane capacity
  • Availability, readiness, and risk
• Support multi-hop, time-phased, and event-aware 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 real-time and batch planning pipelines.
• Partner with feasibility, simulation, and execution teams to validate route executability.
• Support scenario testing, what-if analysis, and iterative optimization based on real operational feedback.

What We’re Looking For

Strong Engineering & Optimization Skills

• Strong programming skills in Python or similar, with experience translating mathematical models into production-grade systems.
• Experience integrating routing or optimization algorithms into live planning pipelines with monitoring, validation, and performance tuning.

Operations Research & Network Optimization Background

• Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
• Strong foundation in:
  • Graph theory and network optimization
  • Shortest-path algorithms (Dijkstra, A*, Bellman-Ford)
  • Network flow models (max flow, min cut, min-cost flow)
• Experience with VRP, capacitated routing, or routing with time windows.
• Experience with large-scale graphs, time-expanded networks, or multi-commodity flow models.
• Hands-on experience with modeling languages and solvers such as Pyomo, GAMS, AMPL, CPLEX, or Gurobi.

Systems Thinking

• Ability to reason about scale, uncertainty, and time-dependent systems.
• Comfort owning routing logic and data end-to-end.
• Strong performance, correctness, and reliability mindset in high-stakes environments.

Bonus Points

• Experience with vehicle routing or transportation systems.
• Experience working alongside simulation or digital-twin teams.
• Exposure to defense, government, or mission-critical logistics.
• Experience with ML models, experimentation (A/B testing), or causal inference.
• Experience in data operationalization and production analytics.

Why Gallatin?

• Build the core routing engines that power modern defense logistics.
• Work on real operational problems where minutes, miles, and misroutes matter.
• Collaborate with AI, optimization, and defense experts in a fast-moving, mission-driven startup.
• Competitive compensation including generous equity, 100% employer-paid health insurance, 401(k), unlimited PTO, and catered meals.

This position requires the ability to obtain and maintain a U.S. security clearance and work in classified environments when necessary.

If you’re not excited about building the routing intelligence behind modern warfare logistics, this role isn’t for you.