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Imagine a world-class engineering environment. Now add a team of exceptional talent along with technologies that are so advanced they are often classified. That is what you will find at General Dynamics Mission Systems. Here you will join a team of exceptional engineers as they invent the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. If you want the chance to build things that matter, it is time to bring your talent to General Dynamics Mission Systems.
You will be part of the Operations Technology team, a forward deployed engineering group that embeds directly with users to understand workflows, define requirements, and build custom AI-native solutions from scratch. As the Manufacturing Systems Engineer, you are the technical anchor for how we architect manufacturing systems. Your first mission is to lead the design and build of a custom MES that scales across all operations sites. You will work across the full development lifecycle: gathering requirements firsthand from operators and engineers on the manufacturing floor, designing a scalable, modular architecture, writing and shipping production code, and supporting the systems you build. The scope spans software, data architecture, and emerging manufacturing technologies including Agentic AI, IoT, machine learning, robotics, computer vision, and digital twins.
This is a greenfield build, not a configuration job. We build purpose-built, best-of-breed systems around our best process and connect them from day one, instead of buying a COTS platform and bending our process to fit it. You will architect the system, not configure a COTS platform.
Manufacturing Systems Architecture:
Lead the architecture 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) to a modern, modular, cloud-native build
Make the build-versus-buy and technology-stack decisions that set the foundation for every system that follows
Bring outside-in perspective: translate how leading manufacturers run their operations into what good looks like here
Define the scope, schedule, and expectations for the work you lead, operating with limited direction on ambiguous, undefined problems
Serve as a technical lead, providing work direction and mentorship to other engineers as the team grows
Software Development & Deployment:
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
Forward Deployed Engineering:
Embed directly with operations users at GDMS sites to understand workflows and define requirements firsthand
Own problems end to end: architecture, 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.
Data Architecture & Integration:
Design 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
AI & Emerging Technology:
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
Evaluate emerging manufacturing technologies (IoT, robotics, digital twins, computer vision) for integration into the team's roadmap
Cross-Functional Collaboration:
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
Our Commitment to You:
#LI-REMOTE
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
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