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Digital Signal Processing Jobs in Chicago, IL (NOW HIRING)

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 ...

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All JobsDigital Signal Processing JobsDigital Signal Processing Jobs in Chicago, IL

Digital Signal Processing information

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$16

$48

$90

How much do digital signal processing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for digital signal processing in Chicago, IL is $48.67, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $63.12 per hour, depending on experience, location, and employer.

What is digital signal processing?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What kind of projects or problems do digital signal processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.

What are the key skills and qualifications needed to thrive in digital signal processing, and why are they important?

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

Does digital signal processing pay well?

Digital Signal Processing (DSP) engineers typically earn competitive salaries, especially with experience and advanced skills in areas like MATLAB, C++, or FPGA design. Salaries vary by industry and location but generally align with engineering roles in technology and telecommunications sectors, often complemented by certifications and a strong technical background.

What do you do in digital signal processing?

In digital signal processing, professionals analyze, modify, and interpret digital signals such as audio, video, and sensor data using algorithms and mathematical techniques. They develop filters, perform data compression, and implement real-time processing systems often using tools like MATLAB or Python. This work supports applications in communications, audio engineering, and multimedia systems.

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

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

What are popular job titles related to Digital Signal Processing jobs in Chicago, IL?

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

What job categories do people searching Digital Signal Processing jobs in Chicago, IL look for?

The top searched job categories for Digital Signal Processing jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Digital Signal Processing jobs?

Cities near Chicago, IL with the most Digital Signal Processing job openings:

Digital Signal Processing jobs near you
Infographic showing various Digital Signal Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $101,234 per year, or $48.7 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 5 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).