Staff Software Engineer – Discrete Event Simulation & Route Optimization

• Design and implement core algorithms for discrete event simulation, scheduling, routing, graph-based modeling, and system optimization
• Build and maintain DES models of complex systems (e.g., production lines, AMR flows, logistics networks), including event logic, resources, and KPIs
• Build and run large-scale simulation experiments and translate results into actionable recommendations for throughput, cost, and reliability improvements
• Develop and maintain core data structures and services for maps, graphs, and spatial databases
• Develop production-quality software (primarily in Python and C#) and expose capabilities via stable APIs and internal tools
• Partner with cross-functional teams (manufacturing, robotics, data, and platform engineering) to connect models with real-world telemetry and digital twins
• Define and champion best practices for algorithm design, simulation modeling, testing, and observability
• Mentor engineers and provide technical leadership on algorithms, modeling, and software design

• Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Operations Research, Applied Mathematics, or a related field
• PhD or equivalent experience preferred
• 10+ years of software engineering experience with a strong focus on algorithms, simulation, or optimization
• Strong skills in Python, C++, C#, or similar languages, with a track record of shipping production-quality software
• Deep experience implementing and optimizing shortest-path and routing algorithms (e.g., Dijkstra, A*, flows, matchings, search on large graphs)
• Solid expertise in probability, statistics, and stochastic processes applied to modeling and simulation (e.g., Monte Carlo simulation)
• Experience running large batches of simulations or distributed experiments (cloud or on-prem)
• Excellent communication and collaboration skills, with a history of influencing architecture and technical direction
• Practical experience with simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom DES frameworks)

• Experience in full stack software development for graph and/or map systems
• Experience in manufacturing, industrial automation, robotics, logistics, or autonomous systems
• Background in operations research (e.g., linear/integer programming, constraint programming, or meta-heuristics)
• Familiarity with digital twins, 3D/physics-based simulation, or factory/warehouse simulation tools

Relocation benefits