Generalmotors

Generalmotors

Staff Software Engineer – Discrete Event Simulation & Route Optimization

Role

Staff Software Engineer – Discrete Event Simulation & Route Optimization

Location

United States of America

Job type

Full time

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Posted

Just now

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Salary

Not disclosed by employer

Job description

Job Description

The Autonomous Robotics Center (ARC) is a multidisciplinary organization developing the next generation of intelligent, highly automated manufacturing systems for General Motors. We’re looking for a Staff Software Engineer – Discrete Event Simulation & Optimization to lead the design and implementation of advanced algorithms and simulation capabilities that power GM’s digital factory, production systems, and robotics experiences.

You will own end-to-end solutions: from modeling complex systems and building discrete event simulation (DES) models, to developing optimization-based algorithms for routing and scheduling, and delivering performant, production-ready software services that integrate with GM’s internal platforms.

What You’ll Do

  • 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.

What You Bring

  • 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).

Competitive Edge

  • 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.

&#xa;&#xa;&#xa;&#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&#xa;&#xa;The selected candidate will be required to travel <25% for this role.&#xa;&#xa;This job may be eligible for relocation benefits.&#xa;&#xa;

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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