Modeling Analyst

MTSI is seeking a Modeling Analyst to support the development and integration of advanced mission systems defense acquisition efforts. This role involves hands-on software engineering across the full system lifecycle—from design and development through integration, testing, and deployment—within a fast-paced, mission-driven environment. The ideal candidate will bring deep technical experience in modern software development, containerization, embedded systems, and open architectures, along with familiarity working on classified programs and cross-functional engineering teams.

Responsibilities

• Serve as a software engineer across multiple acquisition efforts, supporting the design, development, integration, testing, and deployment of mission software.
• Write, debug, and maintain software in C, C , and Python.
• Leverage commercial development tools and modern methodologies such as AGILE, Kanban, Git, Artifactory, Cucumber, Atlassian, Jenkins, etc.
• Work in Linux environments (e.g., RHEL, CentOS) and containerized frameworks (e.g., Kubernetes, Docker, Singularity).
• Develop and troubleshoot software on embedded systems and real-time targets.
• Support the creation of technical documentation, including RFP packages and interface specifications.
• Apply digital engineering and model-based systems engineering (MBSE) principles.
• Contribute to hybrid cloud software deployments and edge-to-cloud integrations.
• Collaborate within open architecture consortiums and support compliance with modular standards.
• Participate in cross-domain engineering reviews and integration events.
  
  

Qualifications

Required

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, or a related field.
• 5 years of experience in software engineering or a closely related field.
• 2 years of recent experience supporting DoD Special Access Programs (SAPs).
• Proficiency in C, C , Python, and embedded software development.
• Experience with containerization (e.g., Kubernetes, Docker) and orchestration.
• Familiarity with open architecture frameworks and vendor ecosystems.
• Strong written and verbal communication skills.
• Active Top Secret clearance required; must be SCI eligible.
• U.S. Citizenship is required.
  
  

Desired

• Master’s degree in a related technical field.
• Experience with OMS, RTOS, FPGA/DSP hardware, HDL, VPX/VITA/SOSA, GPU (CUDA/OpenGL), software-defined radios, RF and EO/IR technologies.
• Background with MATLAB, MS&A tools, and hybrid cloud deployments.
• Knowledge of IP protocols, interface standards, and hardware/software integration best practices.
  
  

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