Optimization Engineer

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

• 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.

• 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.

• 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.

• AWS experience is a plus, especially secure cloud, Gov Cloud, 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.

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.