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Senior Systems Engineer – Manufacturing Plant Floor Systems
General Motors. Lead deployment, modernization, and ongoing support of software applications used in GM manufacturing plants globally .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and maintaining manufacturing applications, integrating AI/ML solutions, and ensuring data quality and system reliability within industrial environments. Proficient in automation, scripting, and managing complex IT infrastructures to enhance operational efficiency.
Highest-signal resume keywords
AI/ML Solution IntegrationControl-Room Software DeploymentPredictive Maintenance AnalyticsPython or PowerShell ScriptingIndustrial Protocols and PLC Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Capabilities DesignDeployment AutomationPredictive Maintenance ModelsSQL ServerTomcat.NET/C# DevelopmentPython ScriptingInfrastructure-as-CodeCI/CD PipelinesData Quality Validation
Soft Skills
Creative Problem-SolvingTeamworkCollaborationDecision-MakingTechnical Learning Agility
Tools & Technologies
KepwareOraclePostgreSQLServiceNowGitHubConfluenceFortifySonarLint/SonarQubeJIRAIIS
Industry Keywords
Manufacturing EnvironmentIndustrial AutomationPlant-Floor Data IntegrationIT InfrastructureControl-Room Applications
Tech Stack
Tools & technologiesCloudIoTLinuxOraclePostgresPythonServiceNowSQLUnix.NET
About the role
Key responsibilities & impact- Lead deployment, modernization, and ongoing support of software applications used in GM manufacturing plants globally
- Deconstruct existing deployment processes and 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
- Install and configure virtual servers in plant data centers with IT infrastructure delivery teams
- Coordinate launch and deployment activities with IT Project Management and escalate risks
- Automate repeatable deployment actions using scripting, CI/CD pipelines, infrastructure-as-code, and AI-assisted workflows
- Design and implement AI/ML capabilities for PLC/SCADA script generation, predictive maintenance analytics, and natural-language plant-floor data interfaces
- Establish validation, testing, human review, security, and traceability practices for AI-generated scripts, configurations, and recommendations
- Validate application functionality, data quality, and integration with physical systems using in-plant resources
- Coordinate testing with upstream and downstream plant software applications
- Support GE Digital CIMPLICITY, OPC UA/DA, PLC-to-MES integrations, Kepware connectivity, and manufacturing data flows
- Investigate IT system integration problems and provide technical input for resolution
- Develop and maintain software, deployment automation, test automation, and supporting tools
- Monitor application uptime, performance, data quality, and AI solution effectiveness; remediate reliability issues
- Maintain technical documentation for production installations, deployment procedures, integrations, and AI model or prompt behavior
- Review pull requests and collaborate on user stories, test cases, code quality, and production readiness
- Drive technical efforts that improve deployment efficiency and support successful software project delivery
- Travel to physical plant locations for workshops, discovery, testing, and deployment
- Work during manufacturing plant downtime, including weekends, second shift, third shift, and holidays
Requirements
What you’ll need- 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 AI safeguards, including validation, access control, data protection, explainability, monitoring, and human-in-the-loop review
- Experience with Oracle, SQL Server, PostgreSQL, or comparable relational and time-series databases
- Experience with Tomcat, IIS, or comparable web application servers
- Experience with server provisioning, virtual machines, networking, clustered servers, and plant data-center environments
- Knowledge of Linux, UNIX, Windows Server, and cloud technologies
- Experience with Cursor, Confluence, ServiceNow, GitHub, Fortify, SonarLint/SonarQube, Artifactory, and JIRA
- Strong .NET/C# development skills
- Strong Python or PowerShell scripting skills for deployment, integration, and test automation
- Experience with Agile teams, code review, and automated testing
- Proven ability to diagnose issues across browser, application, infrastructure, network, database, and industrial systems
- Experience with IT enterprise security concepts and implementation
- Kepware experience, including configuring an IoT Gateway, importing tags, and supporting automatic tag generation
- Excellent verbal and written communication skills
- Creative problem-solving, teamwork, collaboration, business insight, decision-making, negotiation, relationship development, and technical learning agility
- Must not require GM immigration sponsorship now or in the future; candidates requiring H-1B, OPT, STEM OPT, CPT, TN, J-1, or similar immigration support should not apply
Benefits
Comp & perks- Hybrid work arrangement with reporting to a specific location at least 3 times a week or as directed by the manager
- Relocation benefits for candidates who qualify under company policy
- GM Total Rewards benefits supporting employee well-being at work and home
- Reasonable accommodations for applicants with disabilities