Software Engineer

Role Overview ProDex Labs is developing AI‑driven simulation and optimization solutions for manufacturing and logistics. This role focuses on building the mathematical and simulation engines that power our factory planning tools and integrating them into user‑friendly APIs and interfaces. Responsibilities Develop and maintain mathematical models for complex manufacturing constraints and production rules Design and implement optimization algorithms for factory scheduling and resource allocation Build RESTful or GraphQL APIs with FastAPI to expose modeling capabilities Translate messy, real‑world production requirements into robust, solvable mathematical problems Implement front‑end visualizations using React + TypeScript to display optimization results Build and refine discrete‑event simulation engines for production planning scenarios Optimize solver performance for both speed and accuracy in production environments Collaborate with customers to understand domain‑specific constraints and encode them into the system Basic Qualifications Strong foundation in applied math, statistics, or operations research Proficiency in Python for modeling, simulation, and backend development Experience building RESTful or GraphQL APIs with FastAPI (or Flask) Strong understanding of concurrency, synchronization, and parallel execution Working knowledge of React + TypeScript for front‑end development and visualization Ability to translate messy, real‑world constraints into solvable, production‑ready logic Comfort collaborating across modeling, design, and infrastructure teams Preferred Skills and Experience Familiarity with cloud‑native deployment (Docker, Kubernetes, GCP/AWS) Experience integrating optimization engines (OR‑Tools, Pyomo, CPLEX, Gurobi, etc.) Exposure to stochastic or Monte Carlo methods for uncertainty modeling Experience building interactive data visualizations (Plotly, D3, or similar) Background in logistics, defense, or discrete manufacturing #J-18808-Ljbffr