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Freelance Digital Signal Processing Engineer Jobs in Cary, IL

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$133K - $170K/yr

We're looking for a FPGA Engineer to help build the foundation for next-generation radar ... Experience implementing digital signal processing algorithms such as FFTs, filtering, beam forming ...

Fermilab

RF Controls Engineer

Batavia, IL · On-site

In this role, you will research, design, develop, and test the real-time digital signal processing ... What your day-to-day as an RF Controls Engineer at Fermilab will look like: • Research, design ...

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Freelance Digital Signal Processing Engineer information

See Cary, IL salary details

$54.3K

$133.2K

$196.3K

How much do freelance digital signal processing engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for freelance digital signal processing engineer in Cary, IL is $133,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $149,600.00 per year, depending on experience, location, and employer.

What cities near Cary, IL are hiring for Freelance Digital Signal Processing Engineer jobs?

Cities near Cary, IL with the most Freelance Digital Signal Processing Engineer job openings:

Freelance Digital Signal Processing Engineer jobs near you

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

Chicago, IL • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 18 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).