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

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

Translate radar and signal processing algorithms into efficient FPGA implementations. * Debug and ... Candidates must be legally authorized to work in the United States without employer sponsorship and ...

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Next Step Systems

Salesforce Developer - Work From Home

Chicago, IL · On-site +1

$57.25 - $75.75/hr

  • Medical

  • Retirement

  • PTO

Salesforce Developer - Work From Home We are seeking a Salesforce Developer with hands-on expertise ... processes, workflows, technologies to improve efficiency, productivity and effectiveness of ...

Next Step Systems

Options Trader - Work From Home

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

... electrical engineering, computer science, or mathematics. - 4+ years of working experience in ... alpha signal research into options trading systems. - A track record of taking initiative and ...

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All JobsRadar Signal Processing Engineer JobsWork From Home Radar Signal Processing Engineer JobsWork From Home Radar Signal Processing Engineer Jobs in Chicago, IL

Work From Home Radar Signal Processing Engineer information

See Chicago, IL salary details

$103.5K

$135.2K

$152.5K

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

As of Aug 17, 2026, the average yearly pay for work from home radar signal processing engineer in Chicago, IL is $135,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $146,300.00 per year, depending on experience, location, and employer.

What does a work from home radar signal processing engineer do?

A Work From Home Radar Signal Processing Engineer designs, develops, and implements algorithms and systems that process signals from radar equipment, but does so remotely. Their work includes analyzing raw radar data, enhancing signal clarity, filtering out noise, and extracting useful information to support applications like navigation, surveillance, and defense. These engineers typically use software tools such as MATLAB or Python, collaborate with remote teams, and ensure the integrity of radar data processing from their home office. The role requires a strong background in electrical engineering, signal processing, and computer programming.

How does a work from home radar signal processing engineer typically collaborate with hardware teams?

As a remote Radar Signal Processing Engineer, collaboration with hardware teams is usually facilitated through regular virtual meetings, shared documentation platforms, and cloud-based simulation tools. You’ll often review hardware specifications, discuss integration challenges, and coordinate testing schedules with colleagues in different locations. Effective communication skills and familiarity with collaborative engineering software are essential for ensuring your signal processing algorithms are compatible with hardware constraints and performance requirements. This remote setup encourages proactive communication and detailed documentation to keep all stakeholders aligned throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a work from home radar signal processing engineer, and why are they important?

To excel as a Work From Home Radar Signal Processing Engineer, you need a strong background in electrical engineering, signal processing theory, and experience with radar systems, often supported by a relevant degree and industry certifications. Proficiency in programming languages such as MATLAB, Python, and C++, as well as familiarity with simulation tools and signal processing libraries, is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These skills ensure the ability to design, analyze, and optimize radar algorithms while collaborating efficiently with distributed engineering teams.

What is the difference between Work From Home Radar Signal Processing Engineer vs Work From Home RF Engineer?

AspectWork From Home Radar Signal Processing EngineerWork From Home RF Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing certificationsBachelor's or Master's in Electrical Engineering, RF certifications
Work EnvironmentPrimarily software-focused, data analysis, algorithm developmentHardware-focused, testing, and system integration
Industry UsageDefense, aerospace, research institutionsTelecommunications, wireless, broadcasting
Common Search/ComparisonYesYes

The main difference between a Work From Home Radar Signal Processing Engineer and a Work From Home RF Engineer lies in their focus areas. Radar Signal Processing Engineers primarily work on developing algorithms and software for radar systems, often in research or defense sectors. RF Engineers focus on designing and testing radio frequency hardware and systems, mainly in telecommunications. Both roles may require similar educational backgrounds but differ in their technical focus and work environment.

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

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

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

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

Work From Home Radar Signal Processing Engineer jobs near you
Infographic showing various Work From Home Radar Signal Processing Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $135,206 per year, or $65 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 5 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).