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Digital Signal Processing Dsp Jobs in Burr Ridge, IL

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

Experience implementing digital signal processing algorithms such as FFTs, filtering, beam forming, detection, or related radar processing. Someone Who Will Thrive In This Role... * Thinks ...

Fermilab

LLRF FPGA Design Engineer

Batavia, IL · On-site

$111K - $146K/yr

A strong understanding of digital signal processing, control system design, embedded systems software and firmware development is highly desirable. * Circuit design experience specifying ...

Shure

Systems Test Engineer

Skokie, IL · On-site

Expertise in digital wireless audio systems, including digital modulation, error correction ... signal processing, including companding, A/D and D/A conversion, gain structure, DSP features ...

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Digital Signal Processing Dsp information

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$8

$15

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How much do digital signal processing dsp jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for digital signal processing dsp in Burr Ridge, IL is $15.20, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $17.07 per hour, depending on experience, location, and employer.

What is the difference between Digital Signal Processing Dsp vs Signal Processing Engineer?

AspectDigital Signal Processing DspSignal Processing Engineer
CredentialsDegree in Electrical Engineering, Computer Engineering, or related fields; certifications in DSP toolsSimilar degrees; often same certifications; focus on practical application
Work EnvironmentResearch labs, tech companies, manufacturing, embedded systemsDesign firms, telecom, audio/video industries, R&D
Industry UsagePrimarily in electronics, telecommunications, audio processingBroader applications including radar, biomedical, multimedia

Digital Signal Processing Dsp focuses on the algorithms and implementation of digital signals, while Signal Processing Engineer applies these principles across various industries. Both roles require similar skills and education, but DSP is more specialized in algorithm development, whereas Signal Processing Engineers often work on system integration and application development.

What cities near Burr Ridge, IL are hiring for Digital Signal Processing Dsp jobs?

Cities near Burr Ridge, IL with the most Digital Signal Processing Dsp job openings:

Digital Signal Processing Dsp jobs near you

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 11 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).