Advanced Space Systems Engineer

M9 Solutions is seeking an Advanced Space Systems Engineer to work remotely in support of a government contract for a client located in Scottsdale, AZ.

Responsibilities

• Support systems that include digital signal processing algorithms implemented in hardware and software for space-based systems.
• Develop digital signal processing algorithms for the statistical analysis of signal parameter measurements.
• Apply techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory.

Required Skills and Qualifications

• A Bachelor’s degree in Systems Engineering, or a related Science, Engineering, Technology, or Mathematics field. Also requires 5+ years of job-related experience, or a Master’s degree plus 3 years of job-related experience. Agile experience preferred.
• U.S. citizenship required.
• Experience in Python.
• Experience with SmallSats and CubeSats development.
• Hardware Prototype Development, “FlatSat”, “Hardware Integration”, “Hardware in-the-loop” Systems Integrations and Test Experience.
• 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.
• 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 the 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.
• Identifies opportunities to apply AI for continuous improvement and innovation.