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Assistant Digital 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 ... Experience implementing digital signal processing algorithms such as FFTs, filtering, beam forming ...

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All JobsDigital Signal Processing Engineer JobsAssistant Digital Signal Processing Engineer JobsAssistant Digital Signal Processing Engineer Jobs in Chicago, IL

Assistant Digital Signal Processing Engineer information

See Chicago, IL salary details

$10

$23

$45

How much do assistant digital signal processing engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for assistant digital signal processing engineer in Chicago, IL is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.53 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Digital Signal Processing Engineer jobs in Chicago, IL?

The most popular types of Digital Signal Processing Engineer jobs in Chicago, IL are:

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For Assistant Digital Signal Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:

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Assistant Digital Signal Processing Engineer jobs near you
Infographic showing various Assistant Digital Signal Processing Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $49,325 per year, or $23.7 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 3 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).