Advanced Space Systems Engineer

Our systems typically include digital signal processing algorithms that are implemented in hardware and software for space-based systems. In addition to the general systems engineering qualification stated above, highly qualified candidates have work experience with digital signal processing algorithm development for the statistical analysis of signal parameter measurements utilizing techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory.

Requirements

US Citizenship required; Must be able to obtain clearance; LOCAL candidates only (no relocation package); Experience in Python; 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 with Digital Engineering/Model Based Systems Engineering (MBSE)/SySML/MagicDraw/Cameo; Experience in Space Payloads Design, Development or I&T; Clear understanding of systems engineering concepts, principles, theories, and technical standards; Clear understanding of requirements management and system modeling tools; Creative thinker with ability to grasp and apply new information quickly and handle increasing responsibilities with growing complexity; Team player who thrives in collaborative environments and revels in team success; Commitment to ongoing professional development for yourself and others; Bachelor's degree in Systems Engineering or related Science, Engineering, Technology or Mathematics field plus 5+ years of job-related experience, or Master's degree plus 3 years of job-related experience

Nice to have

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; Working knowledge of MATLAB for DSP using related toolboxes; Background with Radar Processing; DSP for mitigating/processing RF effects; Monte Carlo analysis; Phased Array/Beam Forming; Agile experience preferred

Benefits

9/80 schedule (every other Friday off)