Simulation Engineer

Build simulation models that help teams explore scenarios, constraints, uncertainty, and operational tradeoffs. Impact 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. What you'll do 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. What we're looking for 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. 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. 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. #J-18808-Ljbffr