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About the Role

GM's Manufacturing Plant Floor Systems group is seeking a Sr. Systems Engineer to lead the deployment, modernization, and support of global manufacturing plant software applications. This role will focus on deconstructing existing deployment processes, making them AI-centric to improve speed, repeatability, and reliability. You will build full-stack application environments, gather requirements, configure applications, test, troubleshoot, and develop automation for repeatable deployment activities, leveraging current and emerging technologies like AI and intelligent automation to support GM's zero-defect manufacturing goals.

Responsibilities

Deconstruct existing deployment processes and identify opportunities to make them user-driven, AI-centric, secure, repeatable, measurable, and scalable.
Deploy, configure, update, and maintain control-room and plant-floor software on shop-floor IT infrastructure.
Work closely with IT infrastructure delivery teams to install and configure virtual servers in plant data centers with minimum supervision.
Work closely with IT Project Management to ensure launch and deployment activities are tracking for on-time delivery, escalating risks as necessary with minimum supervision.
Identify repeatable deployment actions for automation through scripting, CI/CD pipelines, infrastructure-as-code, and AI-assisted workflows.
Design and implement AI/ML capabilities, including generative AI for PLC/SCADA script generation, predictive maintenance analytics, and natural-language interfaces for plant-floor data.
Establish appropriate validation, testing, human review, security, and traceability practices for AI-generated scripts, configurations, and recommendations.
Work with in-plant resources to validate application functionality, data quality, and integration with physical systems.
Provide analysis and site-specific business configuration required to meet launch and deployment initiatives.
Coordinate testing with upstream and downstream plant software applications to validate data continuity and operational behavior.
Support GE Digital CIMPLICITY, OPC UA/DA, PLC-to-MES integrations, Kepware connectivity, and related manufacturing data flows.
Investigate IT system integration problems and provide technical input for problem resolution.
Develop and maintain software, deployment automation, test automation, and supporting tools using appropriate engineering practices.
Monitor application uptime, performance, data quality, and AI solution effectiveness; identify and remediate reliability issues.
Maintain technical documentation to reflect accurate and current production installations, deployment procedures, integrations, and AI model or prompt behavior.
Review pull requests and collaborate with developers on user stories, test cases, code quality, and production readiness.
Actively engage in development-team activities associated with brainstorming new solutions and refining current solutions.
Drive technical efforts that lead to successful software project delivery and measurable improvements in deployment efficiency.
Possess technical depth and applied experience in multi-layer solutioning, performance tuning, solution debugging, incident triage and remediation, and usability improvement.
Travel to physical plant locations for workshops, discovery, testing, and deployment activities.
Work during manufacturing plant downtime, which may include weekends, second shift, third shift, and holidays.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
5+ years of experience integrating applications with industrial PLCs, robots, or other automation equipment in a manufacturing environment.
Hands-on experience deploying and maintaining control-room or manufacturing applications on shop-floor IT infrastructure.
Experience with industrial protocols, PLCs, manufacturing equipment, and plant-floor data collection and integration.
Experience designing, integrating, or operationalizing AI/ML solutions in an enterprise or manufacturing environment.
Experience with generative AI, large language models, prompt engineering, retrieval-augmented generation, agentic workflows, or AI-assisted software and script development.
Experience developing or applying predictive maintenance, anomaly detection, forecasting, or other manufacturing analytics models.
Experience creating natural-language query or conversational interfaces for operational, manufacturing, or time-series data.
Experience implementing safeguards for AI solutions, including validation, access control, data protection, explainability, monitoring, and human-in-the-loop review.
Databases: Oracle, SQL Server, PostgreSQL, or comparable relational and time-series data technologies.
Web Application Servers: Tomcat, IIS, or comparable platforms.
Infrastructure: Server provisioning, virtual machines, networking, clustered servers, and plant data-center environments.
Operating systems and platforms: Linux, UNIX, Windows Server, and cloud technologies.
Tools: Cursor, Confluence, ServiceNow, GitHub, Fortify, SonarLint/SonarQube, Artifactory, and JIRA.
Strong .NET/C# development skills.
Strong Python or PowerShell scripting skills, with the ability to build deployment, integration, and test automation.
Experience with Agile teams that regularly deliver software while practicing code review and automated testing.
Proven experience diagnosing issues from browser to application, infrastructure, network, database, and industrial systems.
Experience with IT enterprise security concepts and implementation.
Kepware experience, including configuring an IoT Gateway to allow a PLC to communicate with an upper-level application through Kepware, importing tags, and supporting automatic tag generation.
Excellent verbal and written communication skills, with the ability to communicate and translate feedback, needs, risks, and solutions across IT, engineering, plant operations, and business stakeholders.
Creative problem-solving skills that deliver elegant solutions to complex technical and operational issues.
Strong teamwork focus and the ability to foster collaboration within and across teams.
A high degree of business insight, creativity, decision-making skill, drive for results, negotiation ability, peer-relationship development, and technical learning agility.
A customer-centric mindset and enthusiasm for complex systems, reliable software, responsible AI, and measurable business outcomes.
Deep experience with GE Digital CIMPLICITY (SCADA), OPC UA/DA, and PLC-to-MES data integration.
Previous manufacturing, plant-floor, industrial automation, or operational technology experience.
Demonstrated experience deploying AI/ML solutions into production and monitoring their performance and value.
Experience with AI-assisted DevOps, MLOps, model lifecycle management, or LLMOps.
Experience with time-series data, industrial historians, predictive maintenance, anomaly detection, or digital twins.
Experience with enterprise LLM platforms, vector databases, or retrieval-augmented generation architectures.

Skills

GE Digital CIMPLICITY (SCADA)
OPC UA/DA
PLC-to-MES data integration
AI/ML integration
Generative AI
Predictive maintenance analytics
Natural-language query interfaces
Scripting
CI/CD pipelines
Infrastructure-as-code
AI-assisted workflows
Validation
Testing
Human review
Security
Traceability
Data quality
Integration
Kepware
IoT Gateway
Tag import
Automatic tag generation
.NET/C# development
Python scripting
PowerShell scripting
Agile methodologies
Code review
Automated testing
IT enterprise security concepts
Tomcat
IIS
Linux
UNIX
Windows Server
Cloud technologies
Cursor
Confluence
ServiceNow
GitHub
Fortify
SonarLint/SonarQube
Artifactory
JIRA
Oracle
SQL Server
PostgreSQL
Time-series data
Industrial historians
Digital twins
Enterprise LLM platforms
Vector databases
Retrieval-augmented generation architectures

Location

Austin, TX
Warren, MI

Work Type

Hybrid

Experience Level

Senior

Education Level

Bachelor's degree

Benefits

Relocation benefits are available for candidates who qualify under company policy.
GM supports a rewarding career that rewards you personally.

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.
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.
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.