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Signal Processing information

See Illinois salary details

$51.8K

$127.3K

$187.5K

How much do signal processing jobs pay per year?

As of Jul 13, 2026, the average yearly pay for signal processing in Illinois is $127,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Signal Processing position, and why are they important?

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

What can I do with signal processing?

Signal processing professionals analyze, modify, and interpret signals such as audio, video, and sensor data to improve communication, data transmission, and system performance. They use tools like MATLAB, Python, and specialized hardware to develop algorithms for filtering, compression, and noise reduction, often working in industries like telecommunications, audio engineering, and medical imaging.

Is signal processing a good career?

Signal processing is a specialized field within engineering and computer science that involves analyzing, modifying, and interpreting signals such as audio, video, and sensor data. It offers opportunities in industries like telecommunications, aerospace, and healthcare, often requiring knowledge of algorithms, programming, and tools like MATLAB or Python. The career can be stable and well-paying for those with relevant skills and advanced education.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, and while AI techniques are increasingly integrated into signal analysis, DSP skills remain essential for designing and implementing real-time systems. AI can augment DSP tasks but does not fully replace the need for expertise in traditional signal processing methods and tools. Signal processing roles often require knowledge of algorithms, hardware, and software, which are complementary to AI advancements.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, especially with experience, bonuses, and stock options. High-level roles often require advanced skills, certifications, and leadership responsibilities.
What are the most commonly searched types of Signal Processing jobs in Illinois? The most popular types of Signal Processing jobs in Illinois are:
What are popular job titles related to Signal Processing jobs in Illinois? For Signal Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Signal Processing jobs in Illinois look for? The top searched job categories for Signal Processing jobs in Illinois are:
What cities in Illinois are hiring for Signal Processing jobs? Cities in Illinois with the most Signal Processing job openings:
Signal Processing jobs near you
Infographic showing various Signal Processing job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $127,280 per year, or $61.2 per hour.

Digital Signal Processing Engineer

StatusNeo Inc.

Chicago, IL • On-site

Other

Posted 5 days ago

New

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:
    • Digital Filters
    • FFT
    • Wavelets
    • Spectral Analysis
    • Adaptive Filtering
    • 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).

Apply