ZipRecruiter

Log In

1

Internship Digital Signal Processing Jobs in Chicago, 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 ...

1872 Consulting

Electrical Engineer

Chicago, IL · On-site

Key technologies include embedded microprocessor systems, control and display technologies, human body interfaces, AC and DC motor controllers, and digital signal processing.Ability to work ...

1872 Consulting

Electrical Engineer

Chicago, IL · On-site

Key technologies include embedded microprocessor systems, control and display technologies, human body interfaces, AC and DC motor controllers, and digital signal processing.Ability to work ...

next page

Showing results 1-20

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

Internship Digital Signal Processing information

See Chicago, IL salary details

$8

$18

$25

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

As of Aug 21, 2026, the average hourly pay for internship digital signal processing in Chicago, IL is $18.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.78 per hour, depending on experience, location, and employer.

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

AspectInternship Digital Signal ProcessingDigital Signal Processing Engineer
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or higher in Electrical Engineering, Computer Science, or related field; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for designing and implementing DSP algorithms
Employer & Industry UsageTypically offered by tech companies, research labs, or universitiesUsed in telecommunications, audio processing, radar, and other industries

In summary, an Internship Digital Signal Processing role is an entry-level, learning-focused position for students or recent graduates, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and deploying DSP solutions in industry.

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 Internship Digital Signal Processing jobs in Chicago, IL?

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

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

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

Internship Digital Signal Processing jobs near you
Infographic showing various Internship 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 $38,721 per year, or $18.6 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 8 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).