Sr Advanced Space Systems Engineer- Chantilly, VA

General Dynamics Mission Systems, Inc•Chantilly, VA

3d•$142,696 - $158,303•Onsite

About The Position

General Dynamics Mission Systems (GDMS) is seeking an experienced Advanced Space Systems Engineer to join our team in Chantilly, VA. This role involves analyzing, designing, developing, and testing GDMS systems to ensure the seamless integration of software, hardware, reliability, maintainability, safety, and other critical requirements. The position focuses on systems engineering activities including requirements analysis, definition, management, functional analysis, performance analysis, system design, trade studies, systems integration and test (verification), validation, and interface definition. Tasks may extend to formulating operational concepts, performing mission, functional, cost-benefit, and risk analysis, and developing signal processing and overall system architecture. Our systems often incorporate digital signal processing algorithms implemented in both hardware and software for space-based applications. The ideal candidate will possess a strong background in digital signal processing algorithm development for statistical analysis of signal parameter measurements, utilizing techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory. Experience with MATLAB for DSP, Radar Processing, DSP for mitigating/processing RF effects, Monte Carlo analysis, or Phased Array/Beam Forming is highly desirable.

Requirements

Bachelor’s degree in Systems Engineering, or a related Science, Engineering, Technology or Mathematics field.
8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience.
Department of Defense TS/SCI security clearance is required at time of hire.
Must meet eligibility requirements for access to classified information.
U.S. citizenship is required.
Strong proficiency with requirements management and system modeling tools.
Ability to provide technical leadership.
Strong presentation and communications skills with experience in the art of negotiation and the ability to meet challenging customer requirements with win-win solutions.

Nice To Haves

Agile experience preferred.
Working knowledge of MATLAB for DSP using related toolboxes.
Background with Radar Processing.
DSP for mitigating/processing RF effects.
Monte Carlo analysis or Phased Array/Beam Forming is a plus.
Experience with Digital Engineering/Model Based Systems Engineering (MBSE)/SySML/MagicDraw/Cameo (requirements management/verification/validation).
Experience in Python highly preferred.
Experience with SmallSats and CubeSats development.
Hardware Prototype Development, “FlatSat”, “Hardware Integration”, “Hardware in-the-loop” Systems Integrations and Test Experience.
Electrical Engineering and/or Systems Engineering, particularly with communications or digital signal processing focus.
Experience with Agile hardware, software, or firmware development, DevOps, CI/CD.
Experience in Space Payloads Design, Development or I&T.
Creative thinker motivated to apply technical standards and methodologies to develop solutions.
Commitment to ongoing professional development for yourself and others.
Identifies opportunities to apply AI for continuous improvement and innovation.

Responsibilities

Analyze, design, develop and test GDMS systems to ensure the integration of software, hardware, reliability, maintainability, safety and other requirements in the total engineering effort.
Perform requirements analysis, requirements definition, requirements management, functional analysis, performance analysis, system design, trade studies, systems integration and test (verification), validation and interface definition studies of system elements.
Formulate operational concepts.
Perform mission, functional, cost-benefit and risk analysis.
Develop signal processing architecture and overall system architecture.
Develop digital signal processing algorithms for the statistical analysis of signal parameter measurements utilizing techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory.