Senior Software Engineer - Virtualization & Co-Simulation

General Motors; Warren (MI); Hybrid; USD 120,000 - 160,000; Full time

Job summary

General Motors seeks a Senior Software Developer to power GM's virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. You will apply strengths in automation and embedded systems while expanding exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.

You will collaborate with DevOps and simulation teams to ensure seamless integration, and help advance our software-defined vehicle development processes.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• 7+ years of software development, simulation, or embedded systems experience.
• Strong programming skills in Python, C++, C#, or Java.
• Experience with simulation or virtualization (vECUs, FMUs, SIL).
• Understanding of cloud services and distributed systems.
• Experience with CLI-based tool design.
• Knowledge of MCP-based architecture for AI tools design.
• Experience with databases for simulation metadata and results.

Responsibilities

• Develop backend services supporting virtual ECUs, simulation orchestration, and model execution.
• Build tools for SIL workflows including scenario execution, data capture, and automation.
• Integrate AI/ML components into simulation or validation pipelines.
• Design APIs for simulation control, artifact management, and orchestration.
• Optimize performance for compute-intensive workloads.
• Collaborate with DevOps and simulation teams to ensure seamless integration.
• Contribute to CI/CD workflows for simulation and AI components.

Skills

Python

C++

C#

Java

Simulation experience

Cloud services

CLI architecture

MCP architecture

Databases

Kubernetes

AI integration

Microservices

Automotive data

Ontology knowledge

ML integration

Education

Bachelor's degree or higher in Engineering/CS

Job description

General Motors seeks a Senior Software Developer to power GM's virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. You will apply strengths in automation and embedded systems while expanding exposure to cloud, data, ML fundamentals, and large‑scale simulation architecture.

You will collaborate with DevOps and simulation teams to ensure seamless integration, and help advance our software-defined vehicle development processes.