Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Colorado Springs, Colorado, United States
GIS
Job Description
GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives.
Responsibilities
- Lead development of MBSE models to support complex defense and intelligence systems
- Design and implement data science and analytics solutions for mission-focused applications
- Integrate geospatial, C4
- ISR, AI/ML, and cyber capabilities into digital engineering workflows
- Collaborate with cross-functional teams to define system architecture and requirements
- Develop prototypes and tools to support advanced R&D and systems integration
- Ensure model traceability, verification, and validation across the system lifecycle
- Optimize data pipelines, feature engineering, and model performance for production use
- Document designs, analyses, and technical decisions for stakeholders and customers
- Mentor junior engineers and data scientists in MBSE and analytics best practices
- Support proposal efforts and technical presentations to government clients
Required Skills
- Model-Based Systems Engineering (MBSE)
- Sys
- ML or similar modeling languages
- Systems architecture and requirements engineering
- Data science and statistical analysis
- Python or similar programming languages
- Machine learning frameworks (e.g., Tensor
- Flow, Py
- Torch, scikit-learn)
- Geospatial data and tools (e.g., GIS, geospatial libraries)
- C4
- ISR or defense/intelligence systems domain knowledge
- Data pipeline and ETL development
- Cloud or containerized environments for analytics
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