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Radar Signal Processing Machine Learning Jobs (NOW HIRING)

CoVar

Signal Processing Engineer

Durham, NC

RF signal processing, electronic warfare, optimization, array processing, machine learning, adaptive signal processing, AI/ML algorithm development, radar modeling, RF propagation * Ability to work ...

Leidos

Radar Signal Processing Engineer

Huntsville, AL · On-site

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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How much do radar signal processing machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for radar signal processing machine learning in the United States is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $142,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Radar Signal Processing Machine Learning Engineer, a strong background in electrical engineering, signal processing, and applied machine learning is essential, usually supported by a relevant degree such as an MS or PhD. Proficiency with tools like MATLAB, Python, TensorFlow or PyTorch, and radar simulation software is typically required, along with experience in algorithm development and data analysis. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills to excel in this interdisciplinary field. These competencies enable accurate development and deployment of intelligent radar systems, which are vital for applications in defense, automotive, and remote sensing.

What are some common challenges faced when applying machine learning techniques to radar signal processing, and how can a new team member prepare for them?

A common challenge in this role is dealing with the complexity and variability of real-world radar data, which often includes noise, clutter, and limited labeled examples for training machine learning models. New team members can prepare by developing strong signal processing fundamentals, gaining familiarity with radar datasets, and learning best practices for data preprocessing and augmentation. Collaboration with domain experts and regular code reviews are also integral to overcoming challenges, as the team typically includes both radar engineers and data scientists working closely to refine models and interpret outcomes.

What is radar signal processing in machine learning?

Radar signal processing in machine learning involves using advanced algorithms to analyze and interpret radar data. Machine learning techniques are applied to improve target detection, classification, and tracking by learning from patterns in the radar signals. This approach enhances the accuracy and efficiency of radar systems in applications such as autonomous vehicles, surveillance, and weather monitoring. By leveraging large datasets, machine learning can adapt to changing environments and reduce false alarms, making radar systems smarter and more reliable.

What is the difference between Radar Signal Processing Machine Learning vs Radar Systems Engineer?

AspectRadar Signal Processing Machine LearningRadar Systems Engineer
Required CredentialsDegree in Electrical Engineering, Computer Science, or related; knowledge of signal processing and machine learningDegree in Electrical Engineering, Systems Engineering, or related; expertise in radar system design
Work EnvironmentResearch labs, tech companies, defense contractors focusing on algorithm developmentDesign, develop, and test radar systems in engineering teams, often in defense or aerospace industries
Industry UsageDeveloping algorithms for radar data analysis using machine learning techniquesCreating and integrating radar hardware and software systems for operational use

While Radar Signal Processing Machine Learning focuses on applying machine learning techniques to analyze radar data, Radar Systems Engineers design and develop the entire radar systems. Both roles require a strong background in electrical engineering and often collaborate in defense and aerospace sectors, but their core responsibilities differ significantly.

Infographic showing various Radar Signal Processing Machine Learning job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $131,250 per year, or $63.1 per hour.

Radar Signal Processing Engineer

Https://www.matrixresearch.com/

Dayton, OH • Hybrid

Full-time

Medical, Dental, Retirement, PTO

Posted 28 days ago

Job description

Radar Signal Processing Engineer

We are currently seeking a Radar Signal Processing Engineer for our Dayton, Ohio location. This position requires an applicant be well versed in radar signal processing with strong computer programming skills.

Position is ONSITE


HOW WILL THIS POSITION CONTRIBUTE?

  • Mission: Develop, model, simulate and analyze advanced radar capabilities and demonstrate these capabilities on fieldable systems
  • How: By using industry best practices and contributing to a team working to expand the state of the art in modern radar technologies

WHAT SKILLS ARE NEEDED?

Required:

  • Expertise with a history of demonstrated proficiency in the following technical areas:
    • Algorithm development and analysis
    • Common radar modes and data processing techniques
    • Programming in Matlab and/or C++
    • Modelling and simulation of radar or other radio frequency systems
    • Statistical and probability analysis
  • Highly developed writing and verbal skills for the purpose of generating high quality technical reports and presentations.
  • Familiarity with the software development environment, including compilers, source control, coding standards, and code reviews.
  • Minimum of five years' experience
  • Applicants must be US citizens capable of obtaining and maintaining a US DoD security clearance.

Desired:

  • Familiarity with RF electronic protection and electronic attack techniques
  • Ten years or more experience
  • Familiarity with Linux or other Unix based operating systems
  • An active security clearance

WHO IS MATRIX RESEARCH?

Matrix Research is an employee-owned, small business advancing the state of the art in radar systems, radio frequency, and sensor exploitation technologies. Two thirds of our staff hold advanced degrees in Engineering, Mathematics, or the Physical Sciences. Our programs span basic research through the demonstration, test and evaluation, and low-rate production of advanced sensing systems, subsystems, and components.

WHY WORK WITH US?

  • We work with a purpose: To make the world safer through the development and delivery of innovative engineering solutions.
  • We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
  • We support our employees with industry-leading benefits: As an employee-owned company, we embrace quality benefits, including a 20% no-match-required retirement plan, starting accrual rate of 4 weeks of vacation annually, substantially-subsidized health and dental insurance, discretionary annual bonuses, and many more.
  • We support our employees with work/life flexibility: We offer a hybrid remote work environment for most positions and hourly pay for all positions - ensuring individuals are fairly compensated for hours worked while supporting a flexible work commitment.
  • We transform ideas into reality: Our programs range from groundbreaking research to field deployment of advanced systems developed inhouse.

Matrix Research is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, veteran's status, disability, sexual orientation, gender identity, national origin or any other protected class set forth by federal or state law.

Matrix is a Drug-Free Workplace

This job description is designed to provide general guidance in job tasks and is not meant to be all-inclusive of the responsibilities, duties, and skills required of this position. As business demands and needs change, the essential functions of this position may be updated to reflect the needs of Matrix Research, Inc.


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