Systems Engineer – Digital Signal Processing / Space Systems

Moseley Technical Services, Inc.; Scottsdale (AZ); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Job summary

Moseley Technical Services, Inc. in Scottsdale, AZ, seeks a Systems Engineer specializing in Digital Signal Processing for space-based systems. You will develop DSP algorithms, integrate hardware and software, and apply statistical methods with MATLAB to optimize signal processing solutions.

The role calls for systems engineering expertise, with experience in MBSE/SysML, Python, and related toolchains. U.S. Citizenship is required by law, and the position supports a competitive benefits package.

Qualifications

• Bachelor's degree in Systems Engineering or related field required.
• 5+ years experience or a Master’s degree with 3+ years experience.
• U.S. Citizenship required by Federal Law.
• Experience with DSP algorithm development.
• Working knowledge of MATLAB for DSP applications.

Responsibilities

• Support systems engineering activities for space-based systems with DSP algorithms.
• Develop and evaluate DSP algorithms for statistical analysis of signal parameter measurements.
• Apply Detection & Estimation Theory and Random Processes to signal processing tasks.
• Use MATLAB and DSP toolboxes to develop, model, and evaluate DSP solutions.
• Support requirements management, system modeling, and hardware/software integration.
• Identify opportunities to apply AI to engineering processes.

Skills

DSP

MATLAB

Python

Statistical analysis

Education

Bachelor's degree in Systems Engineering

Tools

SysML

MATLAB toolboxes

MBSE

Job description

Check out this new opportunity!

Systems Engineer

Digital Signal Processing | Space Systems

Scottsdale, AZ

Competitive Salary

U.S. Citizenship is required by Federal Law

We are hiring a Systems Engineer specializing in Digital Signal Processing (DSP) for space-based systems, supporting the development and integration of signal processing algorithms implemented in hardware and software. This role requires systems engineering expertise and experience with DSP algorithm development, statistical analysis of signal parameter measurements, Detection & Estimation Theory, Random Processes Analysis, Communications and Information Theory, and MATLAB.

Candidates with experience in radar processing, RF effects processing and mitigation, Monte Carlo analysis, phased arrays, beamforming, Python, SmallSats/CubeSats, hardware-in-the-loop (HIL) integration and testing, MBSE/SysML, or space payload design and integration are strongly encouraged to apply.

Responsibilities:

• Support systems engineering activities for space-based systems incorporating digital signal processing algorithms implemented in hardware and software.
• Develop and evaluate 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 digital signal processing solutions.
• Support requirements management, system modeling, hardware/software integration, and system-level engineering activities.
• Apply systems engineering concepts, principles, theories, and technical standards throughout the development lifecycle.
• Identify opportunities to apply AI 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 field.
• 5+ years of job-related experience, or a Master’s degree plus 3+ years of job-related experience.
• Systems engineering experience supporting complex hardware and/or software systems.
• Experience with digital signal processing algorithm development.
• Experience performing statistical analysis of signal parameter measurements using concepts from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory.
• Working knowledge of MATLAB for DSP applications, including related toolboxes.
• Understanding of systems engineering concepts, principles, theories, and technical standards.
• Understanding of requirements management and system modeling tools.

Preferred Qualifications:

• Experience with Python.
• Experience with radar processing.
• Experience with DSP techniques for processing or mitigating RF effects.
• Experience with Monte Carlo analysis.
• Experience with phased array and/or beamforming technologies.
• Experience with SmallSat and CubeSat development.
• Experience with hardware prototype development, FlatSat environments, hardware integration, and hardware-in-the-loop (HIL) systems integration and 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 practices.
• Experience with Digital Engineering and Model-Based Systems Engineering (MBSE), including SysML, MagicDraw, and/or Cameo.
• Experience with space payload design, development, integration, and test (I&T).
• Agile development experience.

Moseley Technical Services, Inc. is an AA/EEO/Veterans/Disabled Employer.

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

• To apply, send a resume to: [e-mail]
• For more active job openings: Search Jobs
• For more information about Moseley, visit: About Us

Moseley Technical Services, Inc. (Moseley) was incorporated in 1994 to provide engineering and professional services to the aerospace/defense, manufacturing, government, and commercial industries. Our Mission is to deliver superior service to our customers and employees. We have been successful in our vision by building long-term relationships with customers and employees through integrity, transparency, and appreciation.

We stand by our 30-year-old commitment of “World Class Service. World Class Company.”