> Markdown version of [/jobs/ext/4026534-sr-digital-engineer-mbse-analyst](https://www.wearedevelopers.com/jobs/ext/4026534-sr-digital-engineer-mbse-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SR Digital Engineer / MBSE Analyst - **Company:** Peraton Inc - **Location:** Colorado Springs, CO, United States - **Experience:** Expert - **Salary:** $112,000.0 - $179,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Cloud Computing, Computer Engineering, Interoperability, Digital Twin, Information Technology - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-digital-engineer-mbse-analyst-colorado-springs-co--d1273789-560b-4e40-9ecc-d003047073f7 ## About the Role Analysis Skills, Government, Technical Support, Analysis Skills, Interoperability, Technical Leadership, Use Cases, Artificial Intelligence (AI), Requirements Derivation, Systems Engineering, * Associates degree and 10+ years of experience in a Systems Engineering related field; OR bachelor's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 8+ years of experience in a Systems Engineering related field; OR a master''s degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 6+ years of experience in a systems engineering related field. Additional four (4) years of relevant experience will be considered in lieu of a degree * This position requires the candidate possess a minimum of Top Secret clearance with ability to upgrade to TS/SCI. The candidate must maintain the clearance * 2+ years of experience applying MBSE in complex system environments. * Experience developing and supporting systems-engineering processes across the full system lifecycle, including analysis, planning, design, development, deployment, integration, testing, or configuration of software. * Expertise using the Cameo Systems Modeler suite of tools. * Willingness to travel up to 25% to support business needs and key stakeholder engagement Desired Qualifications: * Experience with MBSE validation suites. * Experience generating documents or specifications directly from MBSE models. * Experience with MBSE model federation. * Experience developing MBSE style guides or modeling standards. ## Description Peraton is delivering advanced mission planning, digital engineering, and command-and-control capabilities supporting the U.S. Government's space communications enterprise. Our team uses modern MBSE practices to translate mission needs into precise, traceable, and verifiable technical requirements across a complex, multi-system environment. As a Digital Engineer / MBSE Analyst, you will support the technical planning, development, and integration of digital-twin capabilities that advance program goals and mission outcomes. You will help shape concepts, architectures, and model-based engineering artifacts that ensure digital-twin solutions are aligned, interoperable, and technically sound across the broader system landscape. What you'll do: * Help lead technical planning and execution of digital-twin efforts in support of program objectives. * Support the development of digital-twin concepts, architectures, use cases, and technical roadmaps in collaboration with engineering and program teams. * Assist in adapting Peraton Labs' agentic AI and digital-twin capabilities to meet program-specific needs. * Define component-level requirements derived from operational needs, systems-engineering objectives, system behaviors, and stakeholder priorities. * Ensure compliance with model-interoperability approaches, data-exchange patterns, fidelity expectations, and integration guidance across digital-twin and simulation environments. * Work with data, AI/ML, software, and systems-engineering teams to identify and integrate required data sources, dependencies, model inputs and outputs, assumptions, and validation methods. * Identify technical risks, dependencies, sequencing concerns, integration challenges, and capability gaps associated with digital-twin development. * Ensure digital-twin efforts remain aligned with program objectives, Model-Based Systems Engineering practices, CTO advanced-analytics initiatives, and stakeholder needs.