Principal Software Engineer – Simulation, Digital Twin Architect

General Motors

Lead software architecture for GM’s manufacturing Digital Twin & Simulation Platform, connecting simulation engines and plant systems with a multi-year roadmap.

Posted 5/1/2026full-timeRemote • Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityKubernetesPythonUnityUnreal Engine

About the role

Key responsibilities & impact

Own the end-to-end architecture for GM’s manufacturing Digital Twin & Simulation stack (plant models, AMR/cobot and equipment simulation, material flow, and integrations with PLM, CAD, MES, and data platforms).
Define and maintain enterprise reference architectures, APIs, and data contracts used across plants and business units.
Architect scalable data schemas and pipelines for ingesting and managing plant and floor data for both simulation and operational twins.
Design modular, distributed simulation architectures that balance fidelity and cost across cloud and on-prem environments (e.g., Kubernetes, GPU clusters, data lakes).
Lead cross-functional, multi-team initiatives; align teams and vendors to shared architectures and standards.
Act as a principal technical voice for Digital Twin & Simulation, mentoring senior/staff/principal engineers and influencing technical direction across GM.

Requirements

What you’ll need

Master’s or PhD in Computer Science, Software Engineering, Robotics, Electrical/Computer Engineering, or related field.
10+ years of software engineering experience, including principal-level architecture or technical leadership for large-scale, multi-team platforms or systems.
Deep experience with at least one major 3D or manufacturing simulation environment (e.g., Unity, Unreal, NVIDIA Isaac/Omniverse).
Proven track record integrating systems across PLM/CAD, MES/production, PLC/controls, and data/analytics platforms.
Strong programming skills in C++, C#, Python, or similar, with experience designing APIs, services, and data models.
Experience with cloud and on-prem environments (e.g., Kubernetes, GPU clusters, data lakes) for high-scale simulation and Digital Twin workloads.
Nice to have Experience with manufacturing and industrial automation: material-handling systems, AMRs, cobots, virtual commissioning, or PLC/HMI-driven digital twins.
Familiarity with Teamcenter, Siemens Technomatix Process Simulate, or similar manufacturing engineering tools.
Experience with SiL/HiL setups, scenario-based testing, and CI/CD-integrated simulation workflows.
Understanding of cybersecurity and data governance for connected factory systems.

Benefits

Comp & perks

Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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Hard Skills & Tools

C++C#PythonAPI designdata modeling3D simulationmanufacturing simulationcloud environmentson-prem environmentsCI/CD

Soft Skills

technical leadershipmentoringcross-functional collaborationinfluencingalignment