Systems Engineer

Job Description:

The qualified candidate(s) will play a key role in advancing NASA's mission to pioneer the future in space exploration, scientific discovery, and aeronautics research while supporting Langley's strategic focus on autonomous systems, advanced aerospace technologies, space systems, atmospheric science, vehicle integration, systems analysis, and exploration missions.

Responsibilities:

• Develop key performance parameters (KPPs), interfaces, margins and uncertainty analysis, risk management, requirements management, failure modes and effects analysis, verification and validation planning, knowledge management, and technology maturation planning
• Support and coordinate integrated system design, trade studies, and performance analyses of propulsion systems. Model based systems engineering (MBSE) practices may be incorporated
  

Required Qualifications:

• Bachelor's degree in Systems Engineering, Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related STEM discipline.
• Demonstrated experience in orbital mechanics and trajectory analysis of potential missions, as well as trade studies and comparisons of various use cases for crew and science missions.
• Conduct assessments in various vehicle sizes and configurations, subsystem interfaces, and trade different technology options and performance parameters
• Conduct design improvements and detailed analyses (e.g. spacecraft thermal design/analysis, data & link budgets, structural analysis, etc.) of the evolving concepts.
• Experience with Matlab/Simulink or similar.
• Familiarity with the Microsoft Office suite of tools
• US citizenship is required or Permanent Residence.

Desired Experience:

• Experience in computational fluid dynamics, nuclear engineering, particular technologies
• Experience supporting flight systems, space exploration systems, autonomous systems, atmospheric science missions, or advanced aeronautics programs.
• Familiarity with digital engineering, artificial intelligence applications, and advanced modeling and simulation environments