Simulation Engineer

Build simulation models that help teams explore scenarios, constraints, uncertainty, and operational tradeoffs.

• Help teams test decisions before they are made in the real world.
• Model systems where timing, capacity, resources, and uncertainty matter.
• Turn scenarios into useful planning and decision tools.

• Develop discrete-event, agent-based, Monte Carlo, or optimization-linked simulations.
• Work with domain experts to validate assumptions and model behavior.
• Integrate simulations into analytical and product workflows.
• Communicate uncertainty, sensitivity, and tradeoffs clearly.

• 4+ years of simulation, operations research, systems modeling, or applied analytics experience.
• Strong Python, statistics, and modeling fundamentals.
• Experience translating real-world processes into useful computational models.
• 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.