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Digital Signal Processing Intern Jobs in Park 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 ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls ...

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Digital Signal Processing Intern information

See Park Ridge, IL salary details

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

As of Aug 1, 2026, the average hourly pay for digital signal processing intern in Park Ridge, IL is $17.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Signal Processing Intern, and why are they important?

To thrive as a Digital Signal Processing (DSP) Intern, you need a solid background in mathematics, signal processing theory, and programming, typically supported by coursework in electrical engineering or computer science. Familiarity with tools such as MATLAB, Python, and DSP simulation software is commonly required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for problem-solving and teamwork. These skills ensure you can contribute to developing and optimizing signal processing algorithms in real-world engineering projects.

What does a Digital Signal Processing Intern do?

A Digital Signal Processing (DSP) Intern assists in the development, analysis, and implementation of algorithms for processing digital signals such as audio, images, or sensor data. They typically work under the guidance of experienced engineers, using tools like MATLAB, Python, or C/C++ to build and test signal processing systems. Responsibilities may include data collection, simulation, debugging code, and documenting results. The internship provides hands-on experience in applying theoretical concepts from coursework to real-world engineering problems.

What types of projects and tasks can a Digital Signal Processing Intern expect to work on during their internship?

As a Digital Signal Processing (DSP) Intern, you can expect to be involved in projects such as designing, implementing, and testing algorithms for audio, image, or communications processing. Typical tasks include coding in languages like MATLAB or Python, analyzing real-world signals, and assisting with performance optimization. You may also collaborate with senior engineers on research, data collection, and documentation. This hands-on experience provides valuable exposure to both theoretical and practical aspects of DSP in a collaborative team environment.
What cities near Park Ridge, IL are hiring for Digital Signal Processing Intern jobs? Cities near Park Ridge, IL with the most Digital Signal Processing Intern job openings:
Digital Signal Processing Intern jobs near you
Infographic showing various Digital Signal Processing Intern job openings in Park Ridge, IL as of June 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $36,987 per year, or $17.8 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 19 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).