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Work From Home Digital Signal Processing Engineer Jobs in Chicago, IL

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

Experience implementing digital signal processing algorithms such as FFTs, filtering, beam forming ... Thinks holistically about FPGA systems, from sensor interfaces to system performance. * Enjoys ...

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a growing hardware engineering team. Our culture emphasizes teamwork and focuses on continuous ...

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All JobsDigital Signal Processing Engineer JobsWork From Home Digital Signal Processing Engineer JobsWork From Home Digital Signal Processing Engineer Jobs in Chicago, IL

Work From Home Digital Signal Processing Engineer information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

How much do work from home digital signal processing engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for work from home digital signal processing engineer in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a work from home digital signal processing engineer?

To excel as a Work From Home Digital Signal Processing Engineer, you generally need a solid background in electrical engineering, mathematics, and signal processing concepts, often backed by a relevant degree. Familiarity with tools such as MATLAB, Python, C/C++, and simulation software, along with experience in DSP algorithms and possibly certifications like Certified LabVIEW Developer, is highly valued. Strong analytical thinking, problem-solving ability, and effective remote communication skills set standout professionals apart in this field. These competencies ensure the engineer can efficiently design, analyze, and implement DSP solutions while collaborating seamlessly with distributed teams.

What is a work from home digital signal processing engineer?

A Work From Home Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems to process digital signals, such as audio, video, or sensor data, all while working remotely. These engineers use mathematical techniques and software tools to analyze and manipulate signals for various applications, including telecommunications, audio processing, and medical imaging. Working from home allows them to collaborate with team members online, develop code, test algorithms, and troubleshoot issues remotely. Strong skills in programming, mathematics, and communication are essential for success in this role.

How do work from home digital signal processing engineers typically collaborate with team members on complex projects?

Work From Home Digital Signal Processing Engineers often collaborate with cross-functional teams using digital communication tools such as video conferencing, shared code repositories, and project management platforms. Regular virtual meetings, code reviews, and documentation are essential to ensure alignment and progress on signal processing algorithms and system integration tasks. Despite the remote setup, engineers are expected to proactively communicate, share updates, and seek feedback to maintain project momentum and address technical challenges efficiently.

What are popular job titles related to Work From Home Digital Signal Processing Engineer jobs in Chicago, IL?

For Work From Home Digital Signal Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Work From Home Digital Signal Processing Engineer jobs in Chicago, IL look for?

The top searched job categories for Work From Home Digital Signal Processing Engineer jobs in Chicago, IL are:

Work From Home Digital Signal Processing Engineer jobs near you
Infographic showing various Work From Home Digital Signal Processing Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $135,308 per year, or $65.1 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 4 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).