Staff Software Engineer – AI Enablement

General Motors

. Define the architecture for GM’s next-generation virtual development platform, including SIL orchestration, AI-enhanced simulation, data flows, and cloud-native compute .

Posted 10/14/2026full-timeMilford • Michigan • United StatesLead💰 $189,300 - $290,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software architecture and distributed systems, with a strong focus on AI/ML integration and cloud-native compute platforms. Proven ability to mentor teams and guide technical direction while ensuring security and reliability in simulation environments.

Highest-signal resume keywords

Software ArchitectureDistributed SystemsCloud ArchitectureAI/ML IntegrationKubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SimulationVECUsFMUsSILData EngineeringOntology-Based System DesignEvent-Driven ArchitecturesAdvanced ML WorkflowCLI-Based ArchitectureMCP-Based Architecture

Soft Skills

MentoringCollaboration

Tools & Technologies

KubernetesContainer OrchestrationCloud-Native ComputeAPI ArchitectureCI/CD Integration

Industry Keywords

Automotive Domain ModelingOntology TechnologiesOWLRDFSPARQL

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

Define the architecture for GM’s next-generation virtual development platform, including SIL orchestration, AI-enhanced simulation, data flows, and cloud-native compute
Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads across heterogeneous environments
Define AI-enabled simulation patterns, including scenario generation, model-based inference, and data pipelines
Design cloud-native compute platforms for large-scale, parallel, elastically scalable simulation workloads
Establish API and service architecture for orchestration and data management
Guide CI/CD integration for simulation and AI components
Mentor developers and influence technical direction across teams
Ensure security, observability, and reliability across the platform
Collaborate with domain teams to deliver high-fidelity virtual environments and advance GM’s software-defined vehicle development process

Requirements

What you’ll need

Bachelor’s degree (or higher) in Engineering, Computer Science, or related field
10+ years of relevant experience in software architecture, simulation, or distributed systems
Expertise in backend and distributed systems
Experience with virtualization and simulation, including vECUs, FMUs, and SIL
Strong cloud architecture skills
Experience with CLI-based architecture and MCP-based architecture for AI tools design
Experience with ontology-based system design and architecture
AI/ML integration experience for simulation or data workflows
Knowledge of data engineering and storage patterns
Experience with Kubernetes and container orchestration
Preferred: Experience designing simulation platforms at enterprise scale
Preferred: Knowledge of automotive domain modeling and ontology
Preferred: Experience with event-driven architectures for simulation workflows
Preferred: Experience with Agentic AI architecture and multi-agent coordination
Preferred: Advanced knowledge of ontology technologies and ontology design patterns, including OWL, RDF, SPARQL, and automated reasoning
Preferred: Advanced ML workflow experience, including feature stores, model serving, and vector databases

Benefits

Comp & perks

Company vehicle evaluation program, subject to successful motor vehicle report review
GM vehicle assigned for evaluation through the company vehicle evaluation program
Relocation benefits for candidates who qualify under company policy
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Incentive pay program based on company performance, job level, and individual performance