Optimization Engineer

ANAUTICS INC; Oklahoma City (OK); On-site; USD 80,000 - 110,000; Full time

Job summary

ANAUTICS INC in Oklahoma City is seeking an experienced optimization modeler to build models for scheduling and resource planning. The ideal candidate has 4+ years of experience in operations research and strong Python skills. Responsibilities include formulating optimization problems, building APIs, and validating model assumptions. U.S. Citizenship and the ability to obtain a Top Secret security clearance are required. Experience with AWS and AI is preferred.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Optimization modeling

Python

Mathematical modeling

Linear optimization

Mixed-integer optimization

Heuristic methods

Simulation optimization

Communication skills

Tools

AWS

Job description

Build optimization models for scheduling, allocation, routing, supply chain, and resource planning problems.

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.