Adv Systems Eng 1

Moseley Technical Services, Inc.

$134K — $144K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Systems Engineering or related STEM field.
  • 5+ years of experience, or a Master's degree with 3+ years of relevant experience.
  • Knowledge of systems engineering concepts and principles.
  • Familiarity with requirements management and system modeling tools.
  • Experience in engineering activities involving hardware and/or software systems.

Responsibilities

  • Support systems engineering for space systems with DSP algorithms.
  • Develop and analyze DSP algorithms for signal parameter measurements.
  • Apply advanced theories like Detection & Estimation and Communications Theory to signal processing.
  • Use MATLAB for modeling and evaluating DSP solutions.
  • Conduct modeling and simulations, including Monte Carlo techniques.
  • Assist in hardware prototype development and testing in various environments.
  • Contribute to space payload design integration and verification.

Benefits

  • Medical and supplemental insurance coverage.
  • 401(k) retirement plan.
  • Supportive organizational culture that values employee gratitude and retention.
Full Job Description
Systems Engineer

Digital Signal Processing | Space Systems

Scottsdale, AZ | Remote

Pay Estimated: $64.60 - $69.60/Hour

U.S. Citizenship is required by Federal Law

We are hiring a Systems Engineer specializing in Digital Signal Processing (DSP) and space-based systems to support the development and integration of advanced hardware and software solutions. This role focuses on DSP algorithm development, MATLAB, statistical signal analysis, Detection & Estimation Theory, Random Processes Analysis, Communications and Information Theory, radar processing, RF signal effects, and systems engineering for space and payload applications.

Responsibilities:
  • Support systems engineering activities for space-based systems incorporating digital signal processing algorithms implemented in hardware and software.
  • Develop and analyze DSP algorithms for statistical analysis of signal parameter measurements.
  • Apply Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory to signal processing applications.
  • Use MATLAB and related DSP toolboxes to develop, model, analyze, and evaluate signal processing solutions.
  • Support radar processing and DSP techniques for mitigating and processing RF effects.
  • Perform modeling, simulation, and analysis, including Monte Carlo techniques and phased array/beamforming applications.
  • Support hardware prototype development, FlatSat environments, hardware integration, hardware-in-the-loop (HIL) systems, integration, and testing.
  • Contribute to space payload design, development, integration, and test (I&T).
  • Apply systems engineering principles, requirements management, and system modeling throughout the development lifecycle.
  • Support Digital Engineering and Model-Based Systems Engineering (MBSE) activities as applicable.
  • Identify opportunities to apply AI technologies to engineering processes for continuous improvement and innovation.


Qualifications:
  • U.S. Citizenship is required by Federal Law
  • Bachelor's degree in Systems Engineering or a related Science, Engineering, Technology, or Mathematics (STEM) field.
  • 5+ years of job-related experience, or a Master's degree plus 3+ years of job-related experience.
  • Knowledge of systems engineering concepts, principles, theories, and technical standards.
  • Knowledge of requirements management and system modeling tools.
  • Experience supporting engineering activities involving hardware and/or software systems.

Preferred Qualifications:
  • Experience developing digital signal processing algorithms for statistical analysis of signal parameter measurements.
  • Working knowledge of MATLAB for DSP and related MATLAB toolboxes.
  • Experience with Detection & Estimation Theory, Random Processes Analysis, Communications Theory, or Information Theory.
  • Experience with radar processing and DSP techniques for RF effects mitigation and processing.
  • Experience with Monte Carlo analysis.
  • Experience with phased arrays and beamforming.
  • Experience with Python.
  • Experience developing SmallSats or CubeSats.
  • Experience with hardware prototype development, FlatSat, hardware integration, hardware-in-the-loop (HIL), systems integration, or testing.
  • Electrical Engineering and/or Systems Engineering experience with a communications or digital signal processing focus.
  • Experience with Agile hardware, software, or firmware development.
  • Experience with DevOps and CI/CD methodologies.
  • Experience with Digital Engineering or Model-Based Systems Engineering (MBSE), including SysML, MagicDraw, or Cameo.
  • Experience with space payload design, development, integration, or test (I&T).
  • Agile development experience.

What to Expect

  • Applicants selected for employment will be required to pass a pre-employment drug screening and background investigation, which may include education, criminal, and work history verifications.
  • Accepted applicants will be eligible for benefits, including medical and supplemental insurance, and a 401(k) plan. Appreciation and gratitude for employees are hallmarks of organizations with low turnover.
  • Final position level and pay will be based on experience.

Resources
  • For more active job openings: Search Jobs
  • For more information about Moseley, visit: About Us

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