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Digital Signal Processing Dsp Jobs (NOW HIRING)

Huntington Ingalls Industries

$65K - $90K/yr

Candidate must be able to function as the Digital Signal Processing (DSP) Subject Matter Expert for our team. The candidate must be able to solve problems creatively, communicate effectively, and ...

HII's Mission Technologies division

$65K - $90K/yr

Candidate must be able to function as the Digital Signal Processing (DSP) Subject Matter Expert for our team. The candidate must be able to solve problems creatively, communicate effectively, and ...

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Digital Signal Processing Dsp information

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How much do digital signal processing dsp jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for digital signal processing dsp in the United States is $15.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.31 per hour, depending on experience, location, and employer.

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

AspectDigital Signal Processing DspSignal Processing Engineer
CredentialsDegree in Electrical Engineering, Computer Engineering, or related fields; certifications in DSP toolsSimilar degrees; often same certifications; focus on practical application
Work EnvironmentResearch labs, tech companies, manufacturing, embedded systemsDesign firms, telecom, audio/video industries, R&D
Industry UsagePrimarily in electronics, telecommunications, audio processingBroader applications including radar, biomedical, multimedia

Digital Signal Processing Dsp focuses on the algorithms and implementation of digital signals, while Signal Processing Engineer applies these principles across various industries. Both roles require similar skills and education, but DSP is more specialized in algorithm development, whereas Signal Processing Engineers often work on system integration and application development.

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Digital Signal Processing Dsp jobs near you
Infographic showing various Digital Signal Processing Dsp job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $32,034 per year, or $15.4 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 8 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).