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About the Role

At General Motors, we are building software-defined vehicle platforms that will power the future of mobility. We are seeking a Staff Software Engineer to lead the technical direction of DevOps and platform engineering for next-generation infotainment systems across VCU and CCU platforms. This role combines deep technical execution with cross-functional leadership. You will drive the architecture, implementation, and operational excellence of the build, test, release, and developer productivity ecosystem that enables reliable software delivery at scale. In line with GM's staff-level engineering expectations, this role requires end-to-end ownership, strong architectural judgment, and the ability to influence technical direction across teams without direct authority. You will partner closely with engineering, release management, quality, infrastructure, and program stakeholders to modernize CI/CD, improve developer velocity, strengthen observability, and raise the quality and reliability bar for infotainment software delivery.

Responsibilities

Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems across multiple vehicle programs
Design and optimize scalable CI/CD pipelines for embedded Linux (Yocto) builds, including build orchestration, test automation, artifact management, and release workflows
Improve build performance and reliability through distributed build systems (BuildBarn/RBE), caching strategies, and infrastructure optimization
Automate release processes including branching strategy, versioning, artifact promotion, quality gates, and compliance checks
Build self-service platforms, tooling, and dashboards that reduce manual effort and accelerate delivery for engineering teams
Improve developer workflows through GitHub automation, PR validation, smoke testing, and streamlined feedback loops
Establish end-to-end observability and operational excellence using metrics, logs, dashboards, alerting, incident response, and root cause analysis
Leverage AI/ML techniques for predictive build failures, intelligent test selection, resource optimization, anomaly detection, and proactive incident prevention
Lead cross-functional initiatives from concept to production, including architecture reviews, technical design discussions, and communicating trade-offs to stakeholders
Mentor engineers across DVE on CI/CD best practices, build engineering, and infrastructure patterns
Drive continuous improvement through code reviews, design guidance, process optimization, and participation in hiring and team development

Requirements

Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience.
10+ years of experience in software engineering, DevOps, build engineering, platform engineering, or release engineering roles aligned with staff-level scope at GM.
Proven experience leading large technical initiatives across multiple teams from design through production rollout.
Strong experience designing and operating scalable CI/CD systems and developer platforms.
Deep knowledge of build and automation tooling such as Jenkins, GitHub Actions, GitLab CI, or similar.
Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines.
Strong programming and scripting skills in languages such as Python, Bash, Groovy, or similar.
Experience with cloud and container technologies such as Docker, Kubernetes, and at least one major cloud platform.
Hands-on experience with observability tooling for metrics, logging, tracing, dashboards, and alerting; GM staff roles explicitly emphasize observability and operational excellence for production-critical systems.
Strong architectural thinking across APIs, workflows, integrations, automation, and system reliability.
Demonstrated ability to mentor engineers, influence architecture, and drive execution in a matrixed organization.

Skills

DevOps
Platform Engineering
Infotainment Systems
VCU/CCU Platforms
CI/CD
Build Platforms
Embedded Linux
Yocto
Build Orchestration
Test Automation
Artifact Management
Release Workflows
Distributed Build Systems
BuildBarn/RBE
Caching Strategies
Infrastructure Optimization
Release Processes
Branching Strategy
Versioning
Artifact Promotion
Quality Gates
Compliance Checks
Self-Service Platforms
Tooling
Dashboards
Developer Workflows
GitHub Automation
PR Validation
Smoke Testing
Feedback Loops
Observability
Metrics
Logs
Alerting
Incident Response
Root Cause Analysis
AI/ML
Predictive Build Failures
Intelligent Test Selection
Resource Optimization
Anomaly Detection
Proactive Incident Prevention
Architecture Reviews
Technical Design
Mentoring
Code Reviews
Design Guidance
Process Optimization
Hiring
Team Development
Automotive
Embedded Systems
Android Automotive
Linux IVI
QNX
OpenEmbedded
ARM-based Embedded Platforms
Remote Build Execution
Large-Scale Build Caching
Artifact Repositories
Static Analysis
Code Quality
Security Scanning Tools
Internal Developer Platforms
Engineering Productivity Solutions
Regulated Environments
Safety-Conscious Environments
Datadog
Prometheus
Grafana
SonarQube
Artifactory
Machine Learning
DevOps Workflows
Predictive Build Failure Analysis
Intelligent Test Selection
Resource Optimization
AI-powered Development Tools
LLM-based Code Analysis
Automated Root Cause Analysis Systems
MLOps
AI/ML Frameworks
TensorFlow
PyTorch
scikit-learn

Location

Austin, TX
Mountain View, CA

Work Type

Hybrid
Full-time

Experience Level

Staff-level
10+ years of experience

Education Level

Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience.

Salary/Compensations

$189,300 - $290,700

Benefits

Bonus Potential
Company Vehicle
Relocation benefits

About the Company

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.