E01-C07 Systems Engineer (Relative Navigation Systems)

United States·HollywoodFull Timemid

Systems EngineerInfrastructure & Cloud

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Requirements Summary

Active Secret Clearance Education and Years of Experience: Bachelor’s degree in engineering, mathematics,

Technical Tools

Systems EngineerInfrastructure & Cloud

Start Date: Immediate

JHNA, CTSi, and EXPANSIA have come together to form a Defense Technology platform named Aether Aerospace focused on delivering high-impact technologies, technology-enabled services and advanced manufacturing solutions to the U.S. Department of Defense and related national security customers. Backed by Falfurrias Management Partners, the platform brings together deep domain expertise across Army, Navy, and Air Force and Space Force programs, digital engineering, systems integration, and specialized manufacturing capabilities.

The combined organization operates as a multi-entity aerospace and defense technology and tech-enabled services and manufacturing enterprise positioned for scalable growth, operational excellence, and long-term value creation.

OVERVIEW

Full-time/Permanent Employee

Location: Hollywood, MD

Our client is seeking a Systems Engineer with relevant navigation system architecture development experience to join our team. You’ll be working on aircraft platform Modeling and Simulation (M&S) in a variety of areas, with extensive work in the MATLAB and Simulink environments. These areas include performance model management and maintenance, model documentation, model verification and validation, auto-code generation and verification. Additionally, support of aircraft integration, verification and certification. Provide subject matter expertise in the areas related to navigation performance for Global Positioning System (GPS), Inertial Navigation Systems (INS), Data Link Systems (DLS), Relative Navigation Algorithms (RelNav).

The proposed salary range for this position is $100,000 - $175,000. There are a host of factors that can influence final salary including, but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications.

Provide technical expertise and systems integration support to ensure an optimal integrated RelNav algorithm implementation and system design.

Perform various analyses using implementation models (both in MATLAB and Simulink) to facilitate RelNav architecture engineering designs and platform integration.

Develop, document, and maintain MATLAB analytical tools used for implementation models, system assessments, and analyses.

Develop new platform models as necessary to support assessments and analyses and integrate them into existing implementation models.

Maintain current models by integrating changes and upgrades as driven by Simulink software version updates as well as issues and improvements identified by platform users.

Perform activities associated with Simulink model auto-code generation and verification.

Support software teams during integration of auto-coded RelNav solutions into platform systems.

Consult requirements documentation, cybersecurity guidance, and coding standards when making code changes to ensure consistency, readability, and correctness.

Peer-review code to ensure accuracy and adherence to requirements and coding standards.

Clearance: Active Secret Clearance
Education and Years of Experience: Bachelor’s degree in engineering, mathematics, physics or equivalent technical discipline and seven (7) years of systems integration and systems engineering related or equivalent experience.

Experience and strong working knowledge of MATLAB and Simulink, supporting the development, maintenance, and utilization of Modeling and Simulation (M&S) across the system lifecycle, including operations, sustainment, and accreditation

Knowledge of DO-178 processes and their implementation within modeling environments is desired

Extensive knowledge of Global Positioning System (GPS) and Inertial Navigation System (INS) technologies, including associated theories and practical applications across DoD platforms, with emphasis on dynamic systems