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Internship Digital Signal Processing Engineer Jobs in Naperville, 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 ...

1872 Consulting

Electrical Engineer

Chicago, IL

... and digital signal processing.Ability to work independently on research activities.Accept lead ... S. electrical engineering or B.S. computer engineering required. Master's degree in a relevant ...

1872 Consulting

Electrical Engineer

Chicago, IL

... and digital signal processing.Ability to work independently on research activities.Accept lead ... S. electrical engineering or B.S. computer engineering required. Master's degree in a relevant ...

Fermilab

LLRF FPGA Design Engineer

Batavia, IL · On-site

$111K - $146K/yr

Fermilab seeks a highly motivated LLRF System Design Engineer in the Accelerator Division RF ... A strong understanding of digital signal processing, control system design, embedded systems ...

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

Internship Digital Signal Processing Engineer information

See Naperville, IL salary details

$80.4K

$139.2K

$182.2K

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

As of Aug 21, 2026, the average yearly pay for internship digital signal processing engineer in Naperville, IL is $139,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $135,800.00 per year, depending on experience, location, and employer.

What is an internship digital signal processing engineer?

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 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 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 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 most commonly searched types of Digital Signal Processing Engineer jobs in Naperville, IL?

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

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

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

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

What cities near Naperville, IL are hiring for Internship Digital Signal Processing Engineer jobs?

Cities near Naperville, IL with the most Internship Digital Signal Processing Engineer job openings:

Internship Digital Signal Processing Engineer jobs near you
Infographic showing various Internship Digital Signal Processing Engineer job openings in Naperville, IL as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $139,160 per year, or $66.9 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 9 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).