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Full Time Signal Processing Engineer Jobs (NOW HIRING)

Signal Processing Engineer

La Jolla, CA · On-site

$87K - $157K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA . As part of our team, you will focus on ...

Signal Processing Engineer

Arlington, VA · On-site

$87K - $157K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA . As part of our team, you will focus on ...

JR Signal Processing Engineer Who We Are KBR Mission Technology Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our ...

Showing results 41-60

Full Time Signal Processing Engineer information

See salary details

$53.5K

$131.3K

$193.5K

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

As of Sep 15, 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 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 are the key skills and qualifications needed to thrive as a full time signal processing engineer?

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 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:

What are popular job titles related to Full Time Signal Processing Engineer jobs?

For Full Time Signal Processing Engineer jobs, the most frequently searched job titles are:

Radar Signal Processing Engineer

Overland Park, KS • On-site

IERUS Technologies, Inc.
Manufacturing • 51 - 200 employees

Full-time

Re-posted 12 days ago


Job description

Job Description
IERUS specializes in customized electromagnetic spectrum technologies and prototype design for radar and sensing applications. IERUS supports customers with a diverse set of competencies including software development, antenna design and manufacture, radar systems, and algorithms. IERUS develops value for our defense and commercial customers through accelerating technology through its development life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product.
Position Overview
We are seeking a highly skilled Radar Signal Processing Engineer to join our dynamic research and development team. This position offers the opportunity to work on cutting-edge radar technologies and signal processing algorithms as part of innovative R&D projects. The successful candidate will collaborate with a multidisciplinary team of engineers and scientists to advance the state-of-the-art in radar systems and sensing algorithms.
Primary Responsibilities
• Design, develop, and implement advanced radar signal processing algorithms for next-generation radar systems;
• Conduct research and development of novel signal processing techniques to enhance radar performance and capabilities;
• Collaborate with multidisciplinary teams including RF engineers, software developers, systems engineers, and program managers;
• Perform modeling, simulation, and analysis of radar systems and signal processing architectures;
• Prototype and test radar signal processing solutions in laboratory and field environments;
• Support proposal development and customer technical discussions for R&D programs;
• Document research findings and present results to technical and non-technical stakeholders;
• Stay current with emerging technologies and research trends in radar signal processing.
Required Qualifications
• Must be a U.S. citizen;
• Master's degree in Electrical Engineering, Computer Engineering, or related technical field;
• Strong background in radar principles, signal processing theory, and algorithm development;
• Proficiency in MATLAB, Python, or similar technical computing environments;
• Experience with research and development methodologies and practices;
• Excellent analytical and problem-solving skills;
• Strong written and verbal communication skills;
• Ability to work effectively in collaborative, multidisciplinary team environments.
Desired Qualifications
• Ph.D. in Electrical Engineering, Computer Engineering, or related field;
• Experience with advanced radar signal processing techniques (synthetic aperture radar, adaptive processing, STAP, machine learning applications);
• Knowledge of RF system design and electromagnetic modeling tools (HFSS, Feko, CST);
• Experience with real-time signal processing and FPGA development;
• Familiarity with AI/ML applications in radar and signal processing;
• Experience with radar system testing and measurement;
• Knowledge of defense acquisition processes and R&D program execution;
• Active security clearance preferred;
• Experience with technical publication and patent development.
Work Environment
This position involves working in a fast-paced R&D environment with opportunities for both independent research and collaborative team projects. The role may require occasional travel for customer meetings, conferences, and field testing activities.
Location:
Tulsa, OK
IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
IERUS Technologies participates in E-Verify.