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Full Time Signal Processing Engineer Jobs (NOW HIRING)

$112.42K - $151.60K/yr

Requisition Number: 26735 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt ... HII Mission Technologies Division (HII-MT) is seeking a Signal Processing Engineer with the ability ...

$90.87K - $114.55K/yr

Requisition Number: 26743 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt ... HII Mission Technologies Division (HII-MT) is seeking a Signal Processing Engineer with the ability ...

Signal Processing Engineer

Ann Arbor, MI ยท On-site

$100K - $150K/yr

Strong foundation in signal processing, sensor fusion, mathematics, and statistics. * Experience with embedded systems, inertial sensors, electronics. * Expert level knowledge of Python, Jupyter ...

Leidos' Defense Open Sensors Division is seeking a Radar Signal Processing Engineer to join a diverse team to create unique solutions for complex sensor and radar orientated problems. This position ...

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Full Time Signal Processing Engineer information

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$53.5K

$131.3K

$193.5K

How much do full time signal processing engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full time signal processing engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Signal Processing Engineer, and why are they important?

To thrive as a Full Time Signal Processing Engineer, you need a solid background in mathematics, digital signal processing (DSP) theory, and a relevant engineering degree (typically in electrical engineering or computer engineering). Familiarity with MATLAB, Python, C/C++, and tools like Simulink, as well as knowledge of DSP hardware and algorithms, is essential, and certifications in signal processing or related fields can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help engineers interpret complex data and collaborate with multidisciplinary teams. These capabilities are crucial for developing and optimizing signal processing systems that meet technical requirements and drive innovation in applications like communications, audio, and imaging.

What are some common challenges faced by Full Time Signal Processing Engineers, and how can they be addressed?

Full Time Signal Processing Engineers often work with large and complex datasets, which can present challenges in terms of noise reduction, signal integrity, and computational efficiency. Staying current with evolving algorithms and emerging hardware platforms is also crucial. Collaborating closely with cross-functional teams, such as hardware engineers and software developers, is essential to ensure seamless integration of signal processing solutions. To address these challenges, engineers should invest in continuous learning, leverage simulation tools, and maintain clear communication within multidisciplinary teams.

What does a Full Time Signal Processing Engineer do?

A Full Time Signal Processing Engineer designs, develops, and implements algorithms and systems for analyzing and manipulating signals, such as audio, video, radar, or sensor data. They work on tasks like filtering noise, extracting useful information, and optimizing signal transmission or storage. These engineers often use mathematical models and software tools to process real-world signals for applications in telecommunications, healthcare, defense, and multimedia. Their role may also involve testing, debugging, and improving signal processing systems to ensure high performance and reliability.

What is the difference between Full Time Signal Processing Engineer vs Signal Analyst?

AspectFull Time Signal Processing EngineerSignal Analyst
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP and programmingBachelor's or higher in Electrical Engineering, Physics, or related; strong analytical skills
Work EnvironmentDesign, develop, and optimize signal processing algorithms in labs or officesAnalyze signal data, interpret results, and prepare reports, often in research or operational settings
Industry UsageCommon in telecommunications, defense, aerospace, and electronics manufacturingUsed in telecommunications, defense, and research institutions for data analysis

While both roles involve working with signals, a Full Time Signal Processing Engineer focuses on designing and implementing processing algorithms, whereas a Signal Analyst primarily interprets and analyzes signal data. The engineer's role is more technical and development-oriented, while the analyst's role emphasizes data interpretation and reporting.

What are the most commonly searched types of Signal Processing Engineer jobs? The most popular types of Signal Processing Engineer jobs are:
Senior Spectrum/Signal Processing Engineer

Senior Spectrum/Signal Processing Engineer

Odyssey Systems Consulting Group, Ltd.

Tampa, FL โ€ข On-site

Full-time

Posted 25 days ago


Job description

Position Summary
Odyssey Systems is seeking a Senior Spectrum/Signal Processing Engineer to support advanced situational awareness and multi-domain operations (MDO) programs. This role focuses on the design, analysis, and integration of RF and signal processing systems that enable next-generation battlefield awareness, electronic warfare, and spectrum management capabilities.
You will work closely with a multidisciplinary team of engineers, analysts, and operators to design and deliver systems that integrate data from diverse sensors, communications, and radar systems to provide actionable intelligence and operational advantage. The ideal candidate brings deep technical expertise in RF, signal processing, and spectrum management, along with experience contributing to mission-critical DoD programs in multi-domain environments.
This is a full time position located at MacDill AFB, FL or Washington DC
***Contingent upon contract award***
Responsibilities
Duties include, but not limited to:
  • Spectrum and Signal System Design: Develop, evaluate, and integrate RF and signal processing systems to support situational awareness and multi-domain operations.
  • Signal Analysis & Processing: Apply advanced signal processing, computational techniques, and AI/ML methods to analyze RF and sensor data for operational decision support.
  • Operational Integration: Translate high-level operational requirements into deployable technical solutions, ensuring systems operate effectively across air, land, sea, and space domains.
  • Multi-Domain Collaboration: Work with cross-functional teams to design interoperable systems and integrate sensor and communications architectures into a unified operational picture.
  • Testing & Validation: Conduct modeling, simulation, and real-world system testing to ensure mission readiness, performance, and spectrum compliance.
  • Technical Leadership & Influence: Serve as a subject matter expert in spectrum management, signal analysis, and situational awareness technologies, advising program leadership and stakeholders.

***Contingent upon contract award***
Qualifications
Citizenship: Must be a US citizen
Minimum Required Qualifications
Clearance: Active Secret (ability to obtain TS/SCI with CI Poly required)
Education: Bachelors Degree in Electrical Engineering, Computer Engineering, or a related technical discipline with 8+ years of relevant experience.
  • Strong expertise in RF engineering, spectrum management, signal processing, and sensor systems.
  • Hands-on experience with sensors, radar, communications systems, and electronic warfare platforms.
  • Proficiency in signal processing software and languages and experience with AI/ML applied to sensor data.
  • Familiarity with multi-domain operational concepts, situational awareness systems, and DoD sensor architectures.
  • Demonstrated ability to work in multidisciplinary teams, lead technical efforts, and communicate complex concepts to stakeholders.

Preferred Qualifications
Education: Masters Degree in Electrical Engineering, Computer Engineering, or a related technical discipline
Experience:
  • Experience in Multi-Domain Operations (MDO), electronic warfare, or spectrum dominance programs.
  • Familiarity with System-of-Systems (SoS) engineering, sensor fusion, and interoperability standards.
  • Knowledge of situational awareness tools and workflows

Certifications:
  • Advanced certifications such as Certified RF Specialist (CRFS), Certified Signal Processing Engineer (CSPE), or equivalent.

Technical Skills
  • Demonstrated record of innovative technical solutions aligned with defense and mission objectives.

Additional Information
Location: Tampa, FL or Fort Belvoir, VA
Travel: As needed
#LI-DD1
***Contingent upon contract award***
Company Overview
Odyssey Systems is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military's operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care.
Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events.
Please note: Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities