Note: The job is a remote job and is open to candidates in USA. General Dynamics Mission Systems is a leading provider of high technology solutions, products, and services. The Manufacturing Systems Engineer will design and build custom manufacturing execution systems and integrate emerging technologies, working closely with operations users to develop scalable solutions.
Responsibilities
- Design and build major components of a custom MES and the broader manufacturing systems landscape, designed to scale from one site to all operations sites
- Apply manufacturing systems standards and patterns (ISA-95, equipment/work hierarchy, genealogy, traceability) within a modern, modular, cloud-native build
- Help evaluate build-versus-buy and implement the decisions that set the foundation for systems that follow
- Take ownership of your assigned scope and deliver it end to end, working with general direction on loosely defined problems
- Grow into broader technical leadership and mentorship as the team scales
- Design, develop, test, and deploy full-stack web applications for manufacturing execution, data integration, and operational intelligence
- Build AI-native applications with intelligence embedded from the architecture up
- Develop APIs, data pipelines, and integration layers that connect business systems into a unified data architecture
- Write clean, scalable code with a focus on enterprise-scale deployment across all operations sites
- Deploy in weeks, not months, using modern development tools including AI coding assistants
- Embed directly with operations users at GDMS sites to understand workflows and define requirements firsthand
- Own your piece end to end: requirements, design, development, deployment, and support
- Translate complex manufacturing processes into working software through rapid prototyping and iterative delivery
- Build for the user, not the specification. The operator's experience matters more than the feature list
- Build data models that capture, normalize, and flow manufacturing data into a central data warehouse
- Build integrations between enterprise systems (ERP, PLM, CMMS, MRO) and shop-floor equipment using industrial protocols (OPC-UA, MQTT) where applicable
- Eliminate shadow data by building systems that capture critical manufacturing data digitally at the point of work
- Embed AI/ML capabilities into applications: predictive quality, anomaly detection, natural language data access, autonomous decision support
- Leverage large language models and AI coding agents as core tools in the development workflow
- Explore emerging manufacturing technologies (IoT, robotics, digital twins, computer vision) for integration into the team's roadmap
- Partner with Manufacturing, Supply Chain, Quality, Facilities, EH&S, Government Property, and all Operations personnel across multiple sites
- Work closely with IT infrastructure teams on cloud deployment, security compliance, and DevSecOps practices
- Communicate technical concepts clearly to non-technical stakeholders
Skills
- Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master's degree, plus 3 years relevant experience
- U.S. citizenship is required
- Design and build major components of a custom MES and the broader manufacturing systems landscape, designed to scale from one site to all operations sites
- Apply manufacturing systems standards and patterns (ISA-95, equipment/work hierarchy, genealogy, traceability) within a modern, modular, cloud-native build
- Help evaluate build-versus-buy and implement the decisions that set the foundation for systems that follow
- Take ownership of your assigned scope and deliver it end to end, working with general direction on loosely defined problems
- Grow into broader technical leadership and mentorship as the team scales
- Design, develop, test, and deploy full-stack web applications for manufacturing execution, data integration, and operational intelligence
- Build AI-native applications with intelligence embedded from the architecture up
- Develop APIs, data pipelines, and integration layers that connect business systems into a unified data architecture
- Write clean, scalable code with a focus on enterprise-scale deployment across all operations sites
- Deploy in weeks, not months, using modern development tools including AI coding assistants
- Embed directly with operations users at GDMS sites to understand workflows and define requirements firsthand
- Own your piece end to end: requirements, design, development, deployment, and support
- Translate complex manufacturing processes into working software through rapid prototyping and iterative delivery
- Build for the user, not the specification. The operator's experience matters more than the feature list
- Build data models that capture, normalize, and flow manufacturing data into a central data warehouse
- Build integrations between enterprise systems (ERP, PLM, CMMS, MRO) and shop-floor equipment using industrial protocols (OPC-UA, MQTT) where applicable
- Eliminate shadow data by building systems that capture critical manufacturing data digitally at the point of work
- Embed AI/ML capabilities into applications: predictive quality, anomaly detection, natural language data access, autonomous decision support
- Leverage large language models and AI coding agents as core tools in the development workflow
- Explore emerging manufacturing technologies (IoT, robotics, digital twins, computer vision) for integration into the team's roadmap
- Partner with Manufacturing, Supply Chain, Quality, Facilities, EH&S, Government Property, and all Operations personnel across multiple sites
- Work closely with IT infrastructure teams on cloud deployment, security compliance, and DevSecOps practices
- Communicate technical concepts clearly to non-technical stakeholders
Benefits
- Flexible schedules with every other Friday off work, if desired (9/80 schedule)
- Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
Company Overview