Job Description
The Role
GM is working toward Zero Crashes, Zero Emissions and Zero Congestion. Vision and Automation Services builds software that helps manufacturing teams work more safely and efficiently through automation, computer vision and AI.
This Staff role is hands-on and broad. You’ll help build an operational platform that connects plant-floor and enterprise systems and delivers reliable services to workers across plants. You’ll own important capabilities end to end, write production software, set technical direction and help teams make progress through ambiguity.
You’ll work on an AI-enabled operational platform, with AI central to how we build software and how manufacturing teams use it. You’ll use AI-assisted engineering and help develop governed agentic capabilities that enable workers to act on plant information. The work spans Python/FastAPI, React/TypeScript, Java/Spring Boot, event-driven services, Azure, data and security, manufacturing integrations, and edge-to-cloud machine learning.
What You’ll Do
- Build a shared operational platform that connects plant-floor, workforce, equipment and enterprise systems—and supports products and workers across plants.
- Turn operational needs into secure APIs and event-driven workflows that move data, surface alerts and make disconnected systems work together.
- Create agentic and AI-enabled services that help workers act on plant information through governed tools; use AI-assisted engineering in how you build.
- Write production software across Python/FastAPI, React/TypeScript and adjacent Java/Spring Boot, delivering reusable capabilities on Azure.
- Connect plant-edge applications, cameras, computer vision, machine-learning inference, cloud services and operator workflows; help tune and productionize models.
- Keep the platform reliable in real plant environments with strong security, observability, performance, testing and automated delivery.
- Set technical direction, make sound tradeoffs, align teams and mentor engineers alongside manufacturing and product partners.
Your Skills and Abilities (Required Qualifications)
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or a related field.
- 8+ years building and operating production software, with senior-level technical ownership across complex systems and teams.
- Hands-on experience using AI-assisted development tools and building agentic prototypes for software or business workflows.
- Strong hands-on skills in Python and FastAPI, and experience with React and TypeScript; familiarity with Java and Spring Boot.
- Experience designing distributed services, APIs and event-driven systems, and integrating enterprise or industrial platforms.
- Experience with data modeling and relational or graph databases, plus technologies for caching, storage or metrics.
- Experience with Azure or another major cloud, Docker, Kubernetes, infrastructure automation and modern deployment practices.
- Experience building secure applications with identity, access controls, secrets management and secure service-to-service communication.
- Experience with automated testing, CI/CD, production releases and observability—including logs, metrics, tracing, health checks and alerts.
- Strong technical judgment and communication: simplify complex systems, balance delivery with reliability, security, performance and cost, and bring engineering, product and manufacturing partners along.
- Collaborative across teams and functions; willing to travel periodically for plant deployments, production readiness or partner work.
What Can Give You a Competitive Advantage (Preferred Qualifications)
- Set architecture for a shared platform used across products, sites or business units.
- Built software for manufacturing, industrial automation, automotive, robotics or other operational environments, including plant-edge, camera, telemetry or edge-to-cloud systems.
- Integrated systems with different owners, data contracts, release cycles and availability needs.
- Worked with Azure Event Hubs, managed databases, object storage, Key Vault, managed identity, Redis or comparable services.
- Used infrastructure as code, Helm, GitOps or Argo CD to automate deployments.
- Experience applying agentic AI across the software engineering lifecycle—from requirements and design through implementation, testing and deployment—and taking agentic workflows into production.
- Familiarity with LLMs, retrieval-augmented generation, governed AI integrations or related technologies.
- Fine-tuned and productionized machine-learning or computer-vision models, from evaluation through deployment and monitoring.
- Built shared software or data capabilities; mentored engineers and led technical work with ownership, clear communication and sound judgment.
#LI-KL2


GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.


About GM
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.
Why Join Us
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.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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