Sr. Systems Engineer - Manufacturing Plant Floor Systems
General Motors1 day ago
Warren, MI, USA or Austin, TX, USASenior
Responsibilities
- Lead global deployment, modernization, configuration, maintenance, and support of plant-floor and control-room software applications.
- Build full-stack application environments and automate repeatable deployment, integration, and testing activities.
- Deploy and maintain software on shop-floor IT infrastructure, including virtual servers, clustered servers, networks, and plant data-center environments.
- Design and implement generative AI, predictive maintenance, anomaly detection, forecasting, and natural-language interfaces for manufacturing data.
- Integrate GE Digital CIMPLICITY, OPC UA/DA, PLCs, robots, MES systems, Kepware, and related industrial data flows.
- Establish validation, testing, security, traceability, monitoring, and human-review practices for AI-generated scripts and recommendations.
- Coordinate plant testing, data-quality validation, application troubleshooting, launches, and integrations with upstream and downstream systems.
- Develop and maintain software, deployment automation, test automation, supporting tools, technical documentation, and production-readiness practices.
- Monitor uptime, performance, data quality, AI effectiveness, and reliability, and remediate operational issues.
- Review pull requests and collaborate with development, infrastructure, support, project management, plant operations, and business teams.
- Travel to plant locations and work during plant downtime, including possible weekends, second shifts, third shifts, and holidays.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- At least 5 years of experience integrating applications with industrial PLCs, robots, automation equipment, or similar systems 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, plant-floor data integration, and diagnosing issues across application, infrastructure, network, database, and industrial systems.
- Experience designing, integrating, or operationalizing AI/ML solutions, including generative AI, large language models, prompt engineering, retrieval-augmented generation, agentic workflows, or AI-assisted software development.
- Experience developing or applying predictive maintenance, anomaly detection, forecasting, or other manufacturing analytics models.
- Experience creating natural-language or conversational interfaces for operational, manufacturing, or time-series data.
- Experience implementing AI safeguards such as 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 technologies; Tomcat, IIS, or comparable web application servers; server provisioning; virtual machines; networking; clustered servers; and plant data centers.
- Experience with Linux, UNIX, Windows Server, cloud technologies, Cursor, Confluence, ServiceNow, GitHub, Fortify, SonarLint or SonarQube, Artifactory, and JIRA.
- Strong .NET/C# development and Python or PowerShell scripting skills for deployment, integration, and test automation.
- Experience with Agile software teams, code review, automated testing, enterprise security concepts, and implementation.
- Kepware experience, including configuring an IoT Gateway, importing tags, supporting automatic tag generation, and connecting PLCs to upper-level applications.
- Preferred qualifications include GE Digital CIMPLICITY, SCADA, OPC UA/DA, PLC-to-MES integration, manufacturing or operational technology experience, production AI/ML deployment, MLOps, LLMOps, time-series data, industrial historians, digital twins, enterprise LLM platforms, vector databases, and retrieval-augmented generation architectures.
Benefits
- Hybrid work arrangement requiring attendance at a specified location at least three times per week or as directed by the manager.
- Relocation benefits are available for candidates who qualify under company policy.
- Benefits are available from day one through GM’s Total Rewards program.
- The role requires travel to physical plant locations and may require work on weekends, second shifts, third shifts, holidays, and during plant downtime.
- GM does not provide immigration-related sponsorship, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support.
Tech Stack
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.