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About the Role

General Motors is seeking passionate software engineers to build innovative software solutions for global manufacturing, focusing on vision-as-a-service, automation, and AI enablement. This role involves taking technical ownership of complex, production-critical platforms, requiring a deep understanding of the full software development lifecycle and the ability to drive technical direction and engineering practices.

Responsibilities

Lead the architecture and delivery of scalable software capabilities used by manufacturing teams across multiple plants.
Translate business and operational needs into clear technical requirements, service boundaries, interface contracts, and delivery plans.
Design, build, test, and operate production-grade services across Python and FastAPI, React and TypeScript, adjacent Java and Spring Boot, and modern cloud technologies.
Develop event-driven workflows that ingest, normalize, persist, and distribute operational data and alerts.
Establish reliable integrations with manufacturing, workforce, equipment, analytics, and enterprise systems through well-defined APIs and messaging patterns.
Design data models and platform solutions using databases, caching, object storage, and metrics platforms.
Build secure software with strong authentication, authorization, plant-level access controls, secrets management, and defense-in-depth practices.
Improve platform reliability through observability, health monitoring, performance engineering, automated testing, incident learning, and operational readiness.
Lead engineering practices for highly automated continuous integration and delivery, infrastructure automation, containerized deployments, and environment promotion.
Guide the evolution of shared platform capabilities for reuse across multiple manufacturing products.
Contribute to in-plant monitoring and related computer-vision solutions.
Apply artificial intelligence thoughtfully to software engineering and manufacturing operations.
Contribute to machine-learning workflows by fine-tuning models, productionizing them for reliable inference, and establishing evaluation, deployment, monitoring, and lifecycle practices.
Evaluate emerging technologies and turn promising ideas into secure, maintainable prototypes and production solutions.
Make sound architectural tradeoffs among delivery speed, maintainability, performance, security, cost, and operational complexity.
Provide technical leadership across teams by communicating decisions clearly, aligning stakeholders, promoting common engineering practices, and mentoring engineers.
Participate in technical planning, design reviews, code reviews, troubleshooting, and other related duties.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
8+ years of professional software engineering experience, including substantial experience delivering production systems.
In-depth experience designing and developing distributed applications, microservices, APIs, and event-driven systems.
Strong professional experience with Python and modern backend frameworks such as FastAPI.
Strong professional experience with React, TypeScript, and modern frontend application development.
Familiarity with Java and Spring Boot services in distributed enterprise platforms.
Experience designing data models and working with databases, including relational, graph-based, and other fit-for-purpose technologies such as PostgreSQL.
Experience with modern cloud and container technologies such as Azure, Docker, and Kubernetes (K8s), along with infrastructure automation and comparable DevOps practices.
Experience building secure applications with identity, authentication, authorization, role-based access, secrets, and secure service-to-service communication.
Experience with automated testing, continuous integration and delivery pipelines, GitHub Actions or comparable technologies, source control, and production release practices.
Experience with observability, including structured logging, metrics, tracing, health checks, alerting, and operational dashboards.
Experience designing and supporting integrations with enterprise or industrial systems using APIs, messaging, or event-streaming technologies.
Ability to analyze complex systems, balance competing requirements, and make decisions that support long-term platform health.
Ability to communicate technical concepts clearly to software engineers, product leaders, manufacturing partners, and other stakeholders.
Willingness to travel periodically to support collaboration, plant deployments, production readiness, or other business needs.
Ability to work effectively in a highly collaborative, cross-functional environment.
Must not require sponsorship for working in the United States now or in the future.

Skills

Python
FastAPI
React
TypeScript
Java
Spring Boot
Cloud Technologies
Azure
Docker
Kubernetes (K8s)
Infrastructure Automation
DevOps
Security
Authentication
Authorization
Automated Testing
Continuous Integration
Continuous Delivery
GitHub Actions
Source Control
Observability
Structured Logging
Metrics
Tracing
Alerting
APIs
Messaging
Event-Streaming
Data Modeling
Relational Databases
Graph-based Databases
PostgreSQL
Computer Vision
Machine Learning
AI-assisted Development
Agentic Workflows
GitOps
Redis
Helm
Argo CD
Event Hubs
Key Vault
Managed Identity

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Staff
8+ years professional software engineering experience

Education Level

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field

Benefits

Relocation assistance
Total Rewards resources

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.
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.