[Remote] Manufacturing Systems Engineer
Note: The job is a remote job and is open to candidates in USA. General Dynamics Mission Systems is a leader in providing advanced technology solutions for defense and security. As a Manufacturing Systems Engineer, you will design and implement custom manufacturing systems, work closely with users to gather requirements, and develop AI-native solutions to enhance operational efficiency.
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