Staff Software Engineer – Discrete Event Simulation, Route Optimization

General Motors

Staff Software Engineer focusing on algorithms and simulation for GM's digital factory. Leading advanced algorithms and optimization for production and robotics systems.

Posted 4/18/2026full-timeAustin • Missouri, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC#C++algorithmssimulationoptimizationprobabilitystatisticsstochastic processessimulation frameworks

Soft Skills

communicationcollaborationtechnical leadershipmentoringinfluencing architecturebest practices

Certifications

Master’s degreePhD