Staff AI & Cloud-Scale Simulation Engineer (Remote)

Wiraa; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health and wellbeing programs

Retirement plans

Paid vacation and holidays

Tuition assistance

GM vehicle discounts

Wellness resources

Career development

Job summary

General Motors in the United States is seeking a Staff Software Engineer to join the CoSim Infrastructure, Quality, and Scalability team. You will help architect and build the foundation for virtual ECUs, FMUs, SIL/MIL workloads, and AI-enabled simulation in a cloud-native environment.

This role offers remote work with hybrid options in Milford, Michigan, or Warren, Michigan, collaborating across disciplines to deliver high-fidelity, scalable simulation platforms for vehicle software validation.

Qualifications

• Bachelor’s degree or higher in Engineering, Computer Science, or a related field
• 10+ years of experience in software architecture, simulation, or distributed systems
• Expertise in backend and distributed systems development
• Experience with virtualization and simulation technologies (vECUs, FMUs, SIL)
• Strong cloud architecture skills and cloud-native platforms
• Proficiency in CLI-based and MCP-based architecture design for AI tools
• Knowledge of ontology-based system design and architecture
• Experience integrating AI/ML workflows into simulation or data pipelines
• Understanding of data engineering, storage patterns, and scalable data management
• Hands-on experience with Kubernetes and container orchestration tools

Responsibilities

• Architect and develop distributed simulation systems for virtual ECUs, FMUs, and SIL/MIL workloads
• Design AI-enabled simulation patterns, including scenario generation, model-based inference, and data pipelines
• Create cloud-native compute platforms optimized for large-scale, elastic, parallel simulation workloads
• Establish API and service architecture for orchestration and data management
• Guide CI/CD pipelines for simulation and AI components to ensure continuous delivery and quality
• Mentor development teams and promote best practices
• Ensure security, observability, and reliability standards across the platform
• Collaborate with cross-functional teams to deliver high-fidelity virtual environments for vehicle software validation
• Stay current with emerging technologies in simulation, AI, and cloud computing

Skills

Software architecture

Distributed systems

Backend development

Virtualization

FMUs / vECUs

Cloud-native platforms

Kubernetes

AI/ML workflows

Data engineering

CLI & MCP design

Education

Bachelor’s degree or higher in Engineering/CS

Tools

Kubernetes

Job description

General Motors in the United States is seeking a Staff Software Engineer to join the CoSim Infrastructure, Quality, and Scalability team. You will help architect and build the foundation for virtual ECUs, FMUs, SIL/MIL workloads, and AI-enabled simulation in a cloud-native environment.

This role offers remote work with hybrid options in Milford, Michigan, or Warren, Michigan, collaborating across disciplines to deliver high-fidelity, scalable simulation platforms for vehicle software validation.