Modeling & Simulation
Optimization Engineer
Build optimization models for scheduling, allocation, routing, supply chain, and resource planning problems.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Help teams make better decisions under constraints.
- Turn complex tradeoffs into clear alternatives and recommendations.
- Support planning workflows where speed, cost, risk, and capacity all matter.
What you'll do
- Formulate and solve optimization problems using appropriate algorithms and solvers.
- Build interfaces and APIs that make optimization models usable in operations.
- Validate model assumptions with domain experts and historical data.
- Explain recommendations, constraints, infeasibilities, and tradeoffs.
What we're looking for
- 4+ years of optimization, operations research, industrial engineering, or applied math experience.
- Strong Python and mathematical modeling skills.
- Experience with linear, mixed-integer, constraint, heuristic, or simulation-optimization methods.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.