Senior Software Engineer: AI-Driven Virtualization & SIL

General Motors; Milford Charter Township (MI); Hybrid; USD 110,000 - 170,000; Full time

Job summary

General Motors is seeking a Senior Software Developer to build and optimize virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. The role emphasizes automation, embedded systems, and scalable architecture, with exposure to cloud, ML basics, and large-scale simulation.

You will develop backend services for virtual ECUs, create tools for SIL pipelines, integrate AI/ML components, and design APIs for control and orchestration, while collaborating across DevOps

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 architecture for tools 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

Cloud

CLI Architecture

MCP Architecture

Databases

Distributed Systems

Education

Bachelor's degree in Engineering/CS

Job description

General Motors is seeking a Senior Software Developer to build and optimize virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. The role emphasizes automation, embedded systems, and scalable architecture, with exposure to cloud, ML basics, and large-scale simulation.

You will develop backend services for virtual ECUs, create tools for SIL pipelines, integrate AI/ML components, and design APIs for control and orchestration, while collaborating across DevOps