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Radar Signal Processing Jobs in Illinois (NOW HIRING)

TSMG

B2 Licensed Aircraft Engineer

Chicago, IL

... process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available ...

TSMG

B2 Licensed Aircraft Engineer

Chicago, IL

... process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available ...

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All JobsRadar Signal Processing JobsRadar Signal Processing Jobs in Illinois

Radar Signal Processing information

See Illinois salary details

$97.4K

$127.2K

$143.4K

How much do radar signal processing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for radar signal processing in Illinois is $127,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $137,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Radar Signal Processing Engineer, you need a solid background in electrical engineering, digital signal processing, and mathematics, typically with a relevant degree. Proficiency with MATLAB, Python, C/C++, and familiarity with radar simulation tools and algorithms are commonly required, along with security clearances for defense-related roles. Analytical thinking, problem-solving, and effective teamwork are standout soft skills for developing and refining complex radar systems. These competencies are crucial for designing reliable signal processing solutions that meet performance, safety, and operational standards.

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

AspectRadar Signal ProcessingRadar Systems Engineer
Primary FocusAnalyzing and interpreting radar signals to extract target informationDesigning, developing, and integrating radar systems and hardware
Required SkillsSignal analysis, filtering, algorithms, programmingSystem design, hardware integration, testing, project management
Work EnvironmentResearch labs, defense agencies, aerospace companiesEngineering teams, manufacturing facilities, field testing
CertificationsTypically none specific, but advanced degrees preferredProfessional engineering licenses often required

Radar Signal Processing specialists focus on analyzing radar data to improve detection and tracking, while Radar Systems Engineers handle the overall design and integration of radar systems. Both roles require technical expertise but differ in scope and responsibilities, often collaborating within the same industry sectors such as defense and aerospace.

What is radar signal processing?

Radar signal processing refers to the techniques and algorithms used to analyze and interpret signals received by radar systems. This process involves filtering, detecting, and extracting useful information such as the location, speed, and characteristics of objects. Radar signal processing is essential for applications like air traffic control, weather monitoring, military surveillance, and automotive safety systems. Professionals in this field often use advanced mathematical methods and software tools to enhance signal clarity and reliability.

What are some common challenges faced by radar signal processing engineers, and how can they be addressed?

Radar signal processing engineers often encounter challenges such as managing high volumes of data in real time, distinguishing targets from clutter or noise, and adapting algorithms to evolving hardware and operational environments. Overcoming these challenges typically involves leveraging advanced filtering techniques, optimizing code for efficient computation, and collaborating closely with hardware engineers and system architects. Regular cross-disciplinary meetings and continuous professional development in areas like machine learning and digital signal processing can also help engineers stay ahead of technological demands.
What are popular job titles related to Radar Signal Processing jobs in Illinois? For Radar Signal Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Radar Signal Processing jobs in Illinois look for? The top searched job categories for Radar Signal Processing jobs in Illinois are:
Radar Signal Processing jobs near you
Infographic showing various Radar Signal Processing job openings in Illinois as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,184 per year, or $61.1 per hour.

Digital Signal Processing Engineer

StatusNeo Inc.

Chicago, IL • On-site

Other

Posted 5 days ago

New

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops

Location: Chicago, IL (Hybrid/Onsite Preferred) 

Responsibilities

  • Design and implement advanced DSP algorithms for real-time and offline signal processing.
  • Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
  • Build scalable data pipelines for signal acquisition, preprocessing, and model training.
  • Deploy ML models into production using MLOps best practices.
  • Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
  • Collaborate with data scientists, embedded engineers, and software development teams.
  • Implement CI/CD pipelines for machine learning workflows.
  • Monitor production models for drift, performance, and reliability.
  • Work with cloud-native AI services and containerized deployments.
  • Document architecture, algorithms, and deployment processes.

Required Qualifications

  • Bachelor''s or Master''s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 5+ years of experience in Digital Signal Processing.
  • Strong knowledge of:
    • Digital Filters
    • FFT
    • Wavelets
    • Spectral Analysis
    • Adaptive Filtering
    • Time-Series Signal Processing
  • Proficiency in Python and C/C++.
  • Experience with TensorFlow or PyTorch.
  • Hands-on experience building ML pipelines.
  • Experience with Docker and Kubernetes.
  • Experience with Git and CI/CD.

Preferred Qualifications

  • Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
  • Experience deploying AI models at the edge.
  • Familiarity with NVIDIA CUDA or GPU optimization.
  • Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
  • Knowledge of LLMs and Agentic AI is a plus.
  • Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).

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