Systems Engineer

MMB Solutions is a small, engineering-driven company building software and systems that help researchers, operators, and mission teams do things they couldn't easily do before. Our work spans cloud-native computing, advanced communications, AI/ML, systems integration, modeling and simulation, and software-defined environments. We develop technology that brings these capabilities together, makes complex systems easier to operate, and helps move promising ideas out of the laboratory and into practical use. We're not interested in engineering for the sake of process. We believe good engineering combines creativity, technical rigor, rapid experimentation, and the ability to deliver working capabilities. We value people who take ownership, challenge assumptions, and aren't afraid to try something new.Role Description We're looking for a Systems Engineer II to join our Dayton-area team supporting advanced research and development for the Air Force Research Laboratory (AFRL).You'll contribute to MOSAIC (Multi-domain Operations Simulation, Architecture, Integration, and Convergence), a research program focused on making complex test, experimentation, and training environments more intelligent, adaptable, and easier to configure. At the center of this effort is Axioma, MMB's software platform for managing distributed resources, integrating data and control flows, orchestrating software and infrastructure, and supporting AI-assisted experimentation.Our goal is to make it possible for researchers to describe what they want to accomplish and have the environment help determine what resources are available, how they fit together, and how to configure and operate them. This position isn't about maintaining a static system or following a predetermined checklist. You'll help design, build, integrate, and evaluate new capabilities—working alongside a multidisciplinary team that values practical solutions, technical curiosity, and forward progress.What You'll Be Working OnSystems Architecture and EngineeringHelp design and evolve architectures connecting cloud infrastructure, communications systems, simulation environments, data pipelines, AI/ML capabilities, and external hardware.Translate research objectives into technical requirements, interfaces, system designs, and working implementations.Develop and maintain systems engineering artifacts, architecture models, interface definitions, and technical documentation that support development rather than slow it down.Apply Model-Based Systems Engineering (MBSE) concepts, including SysML and DoDAF approaches, to describe systems, their relationships, and how they're expected to behave.Evaluate design alternatives, identify integration challenges, and work with the team to develop practical solutions.AI-assisted Experimentation and Intelligent OrchestrationHelp develop and evaluate approaches for turning researcher objectives into structured, executable experiments.Explore how AI can assist with identifying resources, selecting tools, configuring environments, and interpreting system behavior.Support the integration of AI agents and structured tool interfaces, including MCP-compatible approaches, within controlled and observable workflows.Help establish methods for capturing system state, configurations, data relationships, and experiment results so research can be reproduced and evaluated.Evaluate where automation adds value, where human approval is needed, and how to make these interactions practical for researchers and operators.Testing, Experimentation, and DeliveryParticipate in software-based, simulated, laboratory, and operationally representative experimentation.Develop test procedures, integration demonstrations, verification methods, and performance assessments.Troubleshoot integration issues across software, networks, infrastructure, and system interfaces.Work directly with researchers and fellow engineers to understand what is needed, prototype solutions, and rapidly incorporate feedback.Help turn lessons learned into better architectures, reusable capabilities, and working software.What We're Looking For Bachelor's degree in Systems Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline, or equivalent relevant experience.Approximately 3–7 years of relevant engineering experience. We're flexible on years if your technical capabilities and demonstrated work speak for themselves.Experience with systems engineering, software-intensive system development, systems integration, or technical architecture.Working knowledge of Linux, networking, APIs, distributed systems, or cloud-native application environments.Ability to understand technical requirements, communicate design decisions, and work across engineering disciplines.Experience troubleshooting complex technical problems and delivering functional solutions.U.S. citizenship and ability to meet applicable government security and facility-access requirements.Experience that would be especially usefulYou don't need to check every box. We're interested in engineers who bring strengths in some of these areas and are motivated to learn the rest.Kubernetes, Docker, Helm, Ansible, or infrastructure automation.Model-Based Systems Engineering, SysML, DoDAF, or architecture modeling tools.AI/ML integration, agent-based systems, MCP, or automated workflows.Kafka, MQTT, OpenTelemetry, or distributed data pipelines.Modeling and simulation, DIS/HLA, or Live-Virtual-Constructive (LVC) environments.Software-defined networkingHigh-performance computing, virtualization, distributed compute, or GPU infrastructure.Experience supporting AFRL, DoD research, or advanced defense technology programs.Current Secret or Top Secret security clearance.How We WorkWe're a relatively small team working on ambitious technical problems, and that shapes our culture.We build, test, and improve. We favor working prototypes, meaningful demonstrations, and iterative development over months of documentation that never turns into a functioning capability.We encourage creative engineering. Good ideas can come from anywhere. We want engineers who ask why something is done a certain way, suggest better approaches, and are willing to explore them.We move with purpose. Speed matters, but so does sound engineering. Our goal is to make informed decisions, move quickly, and produce capabilities that work.We value ownership. You'll have opportunities to influence technical direction, make design decisions, and see the results of your work. We expect people to communicate openly, follow through on commitments, and help their teammates succeed.We don't expect everyone to know everything. Our work crosses a lot of technical disciplines. Curiosity, adaptability, and the willingness to learn are just as important as existing expertise.If that sounds like the kind of environment where you'd do your best work, we'd like to hear from you.