
Advanced Space Systems Engineer
Posted 14 hours ago

Posted 14 hours ago
This is a fully remote position, open to applicants in Arizona.
• Assist in supporting systems that incorporate digital signal processing algorithms executed in both hardware and software for space-based applications.
• Create digital signal processing algorithms aimed at the statistical analysis of signal parameter measurements.
• Utilize methodologies from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory.
• A Bachelor's degree in Systems Engineering or a related field in Science, Engineering, Technology, or Mathematics, along with 5+ years of relevant work experience; alternatively, a Master's degree with 3 years of applicable experience.
• U.S. citizenship is mandatory.
• Proficiency in Python.
• Familiarity with the development of SmallSats and CubeSats.
• Experience in Hardware Prototype Development, including “FlatSat,” “Hardware Integration,” and “Hardware in-the-loop” Systems Integration and Testing.
• Practical knowledge of MATLAB for DSP, utilizing relevant toolboxes.
• A background in Radar Processing, DSP for mitigating/processing RF effects, Monte Carlo analysis, or Phased Array/Beam Forming is advantageous.
• Expertise in Electrical Engineering and/or Systems Engineering, particularly focused on communications or digital signal processing.
• Experience with Agile methodologies in hardware, software, or firmware development, including DevOps and CI/CD practices.
• Familiarity with Digital Engineering, Model Based Systems Engineering (MBSE), SySML, MagicDraw, or Cameo.
• Experience in the design, development, or integration and testing (I&T) of Space Payloads.
• A solid understanding of systems engineering concepts, principles, theories, and technical standards.
• A clear grasp of requirements management and system modeling tools.
• Capability to quickly understand and apply new information while managing increasing responsibilities with growing complexity.
• A commitment to continuous professional development for oneself and others.
• The ability to identify opportunities for applying AI to foster continuous improvement and innovation.
• A competitive compensation package.
• M9 Benefits (details linked within the posting).
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