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# Systems Engineer

- **Company:** Leidos Digital Solutions, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Systems Engineering, Computer Aided Three-Dimensional Interactive Application (CATIA), Cloud Computing, Python (Programming Language), MATLAB, Systems Modeling Language, Information Technology, Modeling and Simulation, Ansys
- **Published:** October 7, 2026
- **Apply:** https://jobs.military.com/career/359282/senior-systems-engineer-mission-engineering-modeling-simulation-remote

## About the Role

* Bachelor's degree in Systems Engineering, Engineering, Computer Science, Operations Research, or related discipline and 8-10 years of related experience, or 6-10 years with a Master's degree. Additional experience may be considered in lieu of a degree.
, * Demonstrated experience developing enterprise and mission architectures in UAF/UAFML (UAF 1.2 or later) in Cameo Enterprise Architecture or CATIA Magic, including multi-domain traceability across the UAF grid and integration with SysML system models.
, * Demonstrated experience conducting or directly supporting mission engineering studies, including mission characterization, mission thread and mission engineering thread development, mission metric definition, and analysis of alternative mission architectures.
, * Modeling and simulation experience using tools such as AFSIM, MATLAB/Simulink, or Ansys STK, including scenario development, execution, and analysis of results.
, * OMG Certified UAF Professional (OCUP or UAF certification) and experience with DoWAF-to-UAF migration or DoWAF view generation from UAF models.
, * Experience supporting OUSD(R&E) mission engineering activities, Service mission engineering organizations, or experimentation campaigns tied to Key Operational Problems or equivalent Service-level priority operational problems.
, * Proficiency in Python or MATLAB for simulation automation, model queries, and data analysis; familiarity with operations research methods (design of experiments, sensitivity analysis) and HLA/DIS or cloud-based simulation environments.

## Description

* Familiarity with SysML v2, its API and services, and model interoperability approaches for integrating architecture models with analysis and simulation tools.