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Seasonal Digital Signal Processing information

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$33K

$76.6K

$130K

How much do seasonal digital signal processing jobs pay per year?

As of Jul 10, 2026, the average yearly pay for seasonal digital signal processing in the United States is $76,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $130,000.00 per year, depending on experience, location, and employer.

Does digital signal processing pay well?

Digital signal processing jobs, including roles like signal processing engineer, typically offer competitive salaries due to the specialized skills required, such as knowledge of algorithms, programming, and tools like MATLAB or Python. Salaries vary based on experience, location, and industry, but generally, these positions tend to pay above average compared to many other engineering roles.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a specialized field that involves analyzing and modifying signals using algorithms and hardware. While AI can assist in developing and optimizing DSP techniques, it is unlikely to fully replace DSP professionals, as expertise in signal analysis, hardware integration, and real-time processing remains essential. DSP skills continue to be valuable in industries like telecommunications, audio engineering, and radar systems.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, and healthcare, driven by the need for advanced data analysis and communication systems. Professionals with skills in digital signal processing, programming, and tools like MATLAB or Python are sought after for roles involving system design, analysis, and implementation.

What engineer makes $500,000 a year?

Highly experienced digital signal processing engineers working in specialized industries such as defense, aerospace, or high-frequency trading can earn salaries approaching or exceeding $500,000 annually. These roles often require advanced skills in algorithms, hardware integration, and extensive experience, along with certifications or advanced degrees. Compensation varies based on location, company size, and individual expertise.
More about Seasonal Digital Signal Processing jobs
What cities are hiring for Seasonal Digital Signal Processing jobs? Cities with the most Seasonal Digital Signal Processing job openings:
What are the most commonly searched types of Digital Signal Processing jobs? The most popular types of Digital Signal Processing jobs are:
What states have the most Seasonal Digital Signal Processing jobs? States with the most job openings for Seasonal Digital Signal Processing jobs include:
What job categories do people searching Seasonal Digital Signal Processing jobs look for? The top searched job categories for Seasonal Digital Signal Processing jobs are:
Seasonal Digital Signal Processing jobs near you
Infographic showing various Seasonal Digital Signal Processing job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $76,639 per year, or $36.8 per hour.

Digital Signal Processing Engineer

StatusNeo Inc.

Chicago, IL • On-site

Other

Posted 2 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