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Internship Radar Signal Processing Engineer Jobs in Chicago, IL

FPGA Engineer

Hoffman Estates, IL ยท Remote

$150K - $200K/yr

We're looking for a FPGA Engineer to help build the foundation for next-generation radar ... Translate radar and signal processing algorithms into efficient FPGA implementations. * Debug and ...

You'll serve as the bridge between Security, Engineering, and the business by transforming manual, evidence-heavy compliance work into automated, repeatable processes while helping leadership ...

Engineering Intern / Co-op

Chicago, IL ยท 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 ...

Engineering Intern / Co-op

Chicago, IL ยท 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 ...

Engineering Intern / Co-op

Chicago, IL ยท 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 ...

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Showing results 1-20

Internship Radar Signal Processing Engineer information

See Chicago, IL salary details

$103.5K

$135.2K

$152.5K

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

As of Aug 9, 2026, the average yearly pay for internship radar signal processing engineer in Chicago, IL is $135,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $146,300.00 per year, depending on experience, location, and employer.

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

AspectInternship Radar Signal Processing EngineerRadar Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree (BSc, MSc)Bachelor's or Master's degree in Electrical Engineering, Signal Processing, or related fields
Work EnvironmentInternship programs, often in research labs or industryFull-time professional roles in R&D, defense, aerospace, or related industries
Employer & Industry UsageUniversities, research institutions, defense contractors, aerospace companiesDefense agencies, aerospace firms, technology companies
Common Search & ComparisonOften compared for entry-level understanding and career progressionMore experienced roles with advanced responsibilities

The main difference between an Internship Radar Signal Processing Engineer and a Radar Signal Processing Engineer lies in experience and responsibilities. Internships are designed for students or recent graduates gaining initial industry exposure, while full-time engineers handle complex projects and advanced signal processing tasks.

What are the most commonly searched types of Radar Signal Processing Engineer jobs in Chicago, IL? The most popular types of Radar Signal Processing Engineer jobs in Chicago, IL are:

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

Apetan Consulting llc

Chicago, IL โ€ข Remote

$80 - $150/hr

Contractor

Posted 27 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).