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AI Engineer

  • Office

Salary

$80,000 - 210,000/ year

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Description

About the company

At the company, 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 the company’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.

Responsibilities

  • 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.
  • Handle data gaps, uncertainty, and changing network conditions without breaking execution.
  • Production Integration
  • Integrate routing systems into batch and real-time 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.

Requirements

  • 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.
  • A strong focus on performance, correctness, and reliability 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 with data operationalization and production analytics.
  • Mission and Identity
  • We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.
  • Our mission is to create decision advantage when the stakes are the highest. If we succeed, the system doesn't just run; it gets smarter. We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real and the mission is urgent — you'll fit in here.
  • Why the company?
  • The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
  • Compensation: the company offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
  • The company is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
  • This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
  • We comply with the United States Department of Labor's Pay Transparency provision .
  • Note: Due to the nature of certain government contracts held by this organization, U.S. citizenship is a requirement for all positions at the company. Proof of citizenship will be required prior to employment if selected.

Where you’d work

From the office

No visa sponsorship

About the company

Company hidden

  • Industry: Logistics

Offices in CA, United States, Austin, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 18 checks run
  • 7 good signs
  • 2 red flags

Still hiring?

12 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • The company opened 6 roles and closed 5 in the last 2 weeks: hiring is movingModerate evidence
1 moreFewer
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence

Against it2

  • Listed again after an earlier listing of the same role closedModerate evidence
  • Very wide salary range: $80K to $210KSlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence
  • Pays below most similar roles, which thins the crowdSlight evidence

Fits Me

How well does this role fit you?

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  • Level
  • Stack
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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
Type
Full-time
Equity
Equity offered
Industry
Logistics
Specialty
ML
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Tech stack
  • Python

Location

Work model
Office
Region
United States
Offices
  • CA, United States
  • Austin, United States
Visa sponsorship
Not sponsored

Compensation

Salary
$80,000 - 210,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
Logistics

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