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Summer Digital Signal Processing information

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$31K

$78.5K

$117K

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

As of Jul 11, 2026, the average yearly pay for summer digital signal processing in the United States is $78,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

Does digital signal processing pay well?

Digital signal processing jobs typically offer competitive salaries, especially for roles requiring advanced skills in algorithms, programming, and hardware integration. Salaries vary based on experience, location, and industry, with positions in technology and engineering often paying above average for related fields.

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, audio and image processing, and communication systems. Professionals with skills in digital signal processing, MATLAB, and related tools are sought after for roles in research, development, and engineering projects.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually, especially with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for DSP engineers, involving the analysis and manipulation of signals using algorithms and hardware. While AI can automate some tasks and enhance signal analysis, it complements rather than replaces traditional DSP techniques, which require specialized knowledge and tools. DSP remains essential in many applications such as communications, audio processing, and radar systems.

What is the difference between Summer Digital Signal Processing vs Summer Audio Signal Processing?

AspectSummer Digital Signal ProcessingSummer Audio Signal Processing
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fieldsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields
Work EnvironmentResearch labs, tech companies, universitiesMusic studios, broadcasting companies, research labs
Industry UsageTelecommunications, software development, multimediaMusic production, broadcasting, audio technology

Summer Digital Signal Processing focuses on processing digital signals across various industries like telecommunications and multimedia, while Summer Audio Signal Processing specializes in audio-specific applications such as music and broadcasting. Both roles require similar technical skills and educational backgrounds but differ in their industry focus and application areas.

More about Summer Digital Signal Processing jobs
What cities are hiring for Summer Digital Signal Processing jobs? Cities with the most Summer 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 Summer Digital Signal Processing jobs? States with the most job openings for Summer Digital Signal Processing jobs include:
What job categories do people searching Summer Digital Signal Processing jobs look for? The top searched job categories for Summer Digital Signal Processing jobs are:
Summer Digital Signal Processing jobs near you
Infographic showing various Summer 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 $78,520 per year, or $37.8 per hour.

Digital Signal Processing Engineer

StatusNeo Inc.

Chicago, IL • On-site

Other

Posted 3 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).

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