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Remote 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 ...

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Remote Radar Signal Processing Engineer information

See Chicago, IL salary details

$103.5K

$135.2K

$152.5K

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

As of Jul 27, 2026, the average yearly pay for remote 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 key skills and qualifications needed to thrive as a Remote Radar Signal Processing Engineer, and why are they important?

To thrive as a Remote Radar Signal Processing Engineer, you need a strong background in electrical engineering, digital signal processing, and radar theory, typically supported by a relevant degree. Proficiency with MATLAB, Python, C/C++, and tools like Simulink or FPGA development environments is often required, along with familiarity with simulation and analysis software. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with remote teams and conveying technical concepts clearly. These competencies are essential for developing effective radar solutions, ensuring system reliability, and supporting innovation in distributed engineering environments.

What are some common challenges faced by Remote Radar Signal Processing Engineers and how can they be addressed?

Remote Radar Signal Processing Engineers often encounter challenges such as managing large volumes of complex data, ensuring reliable communication with distributed teams, and debugging system performance without direct access to hardware. To address these challenges, engineers typically rely on advanced simulation tools, maintain clear and regular communication with hardware teams, and use remote desktop solutions to access necessary systems. Emphasizing strong documentation and version control also helps keep projects organized and collaborative in a remote setting.

What are Remote Radar Signal Processing Engineers?

Remote Radar Signal Processing Engineers are professionals who design, develop, and optimize algorithms and systems for processing radar signals, often while working remotely. They analyze raw radar data to extract meaningful information, such as object detection, tracking, and imaging. These engineers use advanced mathematical models and programming to enhance radar system performance and reliability. Their work is crucial in applications like defense, aviation, weather forecasting, and autonomous vehicles.
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:
What are popular job titles related to Remote Radar Signal Processing Engineer jobs in Chicago, IL? For Remote Radar Signal Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Radar Signal Processing Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Radar Signal Processing Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Radar Signal Processing Engineer jobs? Cities near Chicago, IL with the most Remote Radar Signal Processing Engineer job openings:
Remote Radar Signal Processing Engineer jobs near you
Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 13 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).