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Internship 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 ...

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 ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

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 ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

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

Internship Digital Signal Processing Engineer information

See Chicago, IL salary details

$82.9K

$143.6K

$188K

How much do internship digital signal processing engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for internship digital signal processing engineer in Chicago, IL is $143,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,100.00 and $140,100.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as an Internship Digital Signal Processing Engineer?

As an Internship Digital Signal Processing Engineer, you will likely work on tasks such as developing and testing algorithms for signal processing, analyzing real-world data, and assisting with the implementation of DSP solutions in hardware or software. Interns often collaborate closely with senior engineers and cross-functional teams to support ongoing projects, troubleshoot issues, and document their findings. This role provides hands-on experience with tools like MATLAB, Python, or C++, and gives exposure to industry-standard practices, offering a valuable foundation for future career growth in DSP and related fields.

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

AspectInternship Digital Signal Processing EngineerDigital Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree; no professional certification requiredBachelor's or master's degree in electrical engineering, computer engineering, or related field; professional certifications optional
Work EnvironmentInternship programs, often in research labs or tech companies, with supervised tasksFull-time employment in R&D, product development, or engineering teams
Employer & Industry UsageUsed by companies for training and talent development; industry-wide in electronics, telecom, audio/video processingFull-time role across similar industries, with responsibilities for designing and implementing DSP algorithms

The main difference is that an Internship Digital Signal Processing Engineer is a temporary, entry-level position aimed at gaining experience, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and implementing DSP solutions in various industries.

What are the key skills and qualifications needed to thrive as an Internship Digital Signal Processing Engineer, and why are they important?

To thrive as an Internship Digital Signal Processing Engineer, a solid background in electrical engineering, mathematics (especially linear algebra and calculus), and signal processing fundamentals is crucial, often supported by relevant coursework or a related degree. Familiarity with programming languages like MATLAB or Python, and tools such as Simulink or LabVIEW, is frequently required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help interns contribute meaningfully to projects. These skills and qualities are essential for developing, analyzing, and optimizing digital signal processing algorithms in collaborative engineering environments.

What are internship digital signal processing engineers?

Internship digital signal processing (DSP) engineers are students or recent graduates who work under supervision to assist with the design, analysis, and implementation of systems that process digital signals such as audio, video, or sensor data. They typically support teams by developing algorithms, writing code (often in languages like MATLAB, Python, or C), and testing DSP applications in real-world scenarios. These internships provide hands-on experience in applying theoretical concepts from coursework to practical engineering problems, often in industries like telecommunications, audio technology, or medical devices.
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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Internship Digital Signal Processing Engineer jobs near you

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).