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Senior 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 ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL · On-site

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL · On-site

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

fairlife

Senior Dairy Processing Engineer

Chicago, IL

$107K - $138K/yr

The Sr. Dairy Processing Engineer will come in with deep technical expertise in fluid milk membrane separations (especially ultrafiltration), thermal processing (HTST/HHST/UHT), and end-to-end milk ...

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

Senior Digital Signal Processing Engineer information

See Chicago, IL salary details

$72.6K

$138.6K

$200.9K

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

As of Aug 9, 2026, the average yearly pay for senior digital signal processing engineer in Chicago, IL is $138,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $162,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by senior digital signal processing engineers when working on multidisciplinary teams?

Senior Digital Signal Processing Engineers often collaborate with hardware, software, and systems engineers, which can present challenges in aligning technical requirements and timelines. Communication is key, as translating complex DSP algorithms into practical hardware or embedded software implementations requires clear documentation and frequent cross-functional meetings. Additionally, balancing performance optimization with hardware constraints and ensuring robust testing across platforms can be demanding but also offers valuable opportunities for professional growth and innovation.

What does a senior digital signal processing engineer do?

A Senior Digital Signal Processing (DSP) Engineer designs, develops, and implements algorithms and systems that process digital signals such as audio, video, or sensor data. They work on tasks like filtering, encoding, decoding, and analyzing signals to improve performance and efficiency in electronic devices or communication systems. Senior DSP engineers often lead projects, mentor junior engineers, and collaborate closely with hardware and software teams to optimize system performance. Their expertise is crucial in industries such as telecommunications, audio engineering, biomedical devices, and aerospace.

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

AspectSenior Digital Signal Processing EngineerDigital Signal Processing Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or related; experience preferredBachelor's or higher in Electrical Engineering or related
Work EnvironmentDesign, development, and optimization of signal processing algorithms in R&D or product teamsImplementation and testing of signal processing systems, often under supervision
Employer & Industry UsageTech companies, telecommunications, aerospace, defenseConsumer electronics, communications, audio/video industries

The main difference is experience level and responsibility. Senior Digital Signal Processing Engineers typically lead projects, optimize algorithms, and mentor junior staff, while Digital Signal Processing Engineers focus on implementing and testing signal processing solutions. Both roles require similar technical skills but differ in scope and leadership expectations.

What are the key skills and qualifications needed to thrive as a senior digital signal processing engineer, and why are they important?

To excel as a Senior Digital Signal Processing Engineer, you need a strong background in mathematics, signal processing theory, and experience with algorithm development, usually supported by a degree in electrical engineering or a related field. Proficiency in programming languages such as MATLAB, Python, or C/C++, and familiarity with DSP hardware platforms and simulation tools are essential, along with relevant certifications like Certified LabVIEW Developer if applicable. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for delivering robust, innovative signal processing solutions that meet complex technical requirements and drive project success.
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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Senior 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 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).