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Permanent Radar Signal Processing Engineer Jobs in Chicago, IL

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

We're looking for a FPGA Engineer to help build the foundation for next-generation radar ... Translate radar and signal processing algorithms into efficient FPGA implementations. * Debug and ...

NinjaTrader

GRC Engineer

Chicago, IL · On-site

You'll serve as the bridge between Security, Engineering, and the business by transforming manual, evidence-heavy compliance work into automated, repeatable processes while helping leadership ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... S. permanent resident, or protected individual under 8 U.S.C. 1324b) What Will Put You Ahead

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... S. permanent resident, or protected individual under 8 U.S.C. § 1324b) What Will Put You Ahead

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... S. permanent resident, or protected individual under 8 U.S.C. § 1324b) What Will Put You Ahead

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All JobsPermanent Radar Signal Processing Engineer JobsPermanent Radar Signal Processing Engineer Jobs in Chicago, IL

Permanent Radar Signal Processing Engineer information

See Chicago, IL salary details

$103.5K

$135.2K

$152.5K

How much do permanent radar signal processing engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for permanent radar signal processing engineer in Chicago, IL is $135,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $146,300.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Radar Signal Processing Engineer jobs in Chicago, IL? The most popular types of Radar Signal Processing Engineer jobs in Chicago, IL are:
Permanent Radar Signal Processing Engineer jobs near you
Infographic showing various Permanent Radar Signal Processing Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $135,206 per year, or $65 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 26 days ago

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: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o 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).