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Remote Radar Signal Processing Engineer Jobs (NOW HIRING)

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

We're looking for a FPGA Engineer to help build the foundation for next-generation radar ... Translate radar and signal processing algorithms into efficient FPGA implementations. * Debug and ...

It is also a fully remote opportunity. In this position, the candidate will serve as the Radar + RF ... Expertise in Radar systems, signal processing, tracking and track filtering as well as other ...

5G Algorithm Engineer

Redwood City, CA · On-site +1

  • Medical

  • Dental

  • Vision

Remote USA Employees : Industry : Wireless services Position Reporting To: Algorithm Engineering ... In this position, you will be at the forefront designing and refining advanced signal processing ...

Sr Radar Engineer

Falls Church, VA · Remote

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Lead the design and development of radar system architectures, including signal processing ... remote/on-site work at Government direction. · Occasional CONUS travel required for program ...

Solutions Engineering Integration Specialist

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Echodyne is seeking a Solutions Engineering Integration Specialist to join our fast-growing team ... Direct experience with radar signal processing a plus. * Comfortable troubleshooting both hardware ...

Showing results 21-40

Remote Radar Signal Processing Engineer information

See salary details

$100.5K

$131.3K

$148K

How much do remote radar signal processing engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote radar signal processing engineer in the United States is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $142,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Radar Signal Processing Engineer, you need a strong background in electrical engineering, digital signal processing, and radar theory, typically supported by a relevant degree. Proficiency with MATLAB, Python, C/C++, and tools like Simulink or FPGA development environments is often required, along with familiarity with simulation and analysis software. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with remote teams and conveying technical concepts clearly. These competencies are essential for developing effective radar solutions, ensuring system reliability, and supporting innovation in distributed engineering environments.

What are some common challenges faced by remote radar signal processing engineers and how can they be addressed?

Remote Radar Signal Processing Engineers often encounter challenges such as managing large volumes of complex data, ensuring reliable communication with distributed teams, and debugging system performance without direct access to hardware. To address these challenges, engineers typically rely on advanced simulation tools, maintain clear and regular communication with hardware teams, and use remote desktop solutions to access necessary systems. Emphasizing strong documentation and version control also helps keep projects organized and collaborative in a remote setting.

What is a remote radar signal processing engineer?

Remote Radar Signal Processing Engineers are professionals who design, develop, and optimize algorithms and systems for processing radar signals, often while working remotely. They analyze raw radar data to extract meaningful information, such as object detection, tracking, and imaging. These engineers use advanced mathematical models and programming to enhance radar system performance and reliability. Their work is crucial in applications like defense, aviation, weather forecasting, and autonomous vehicles.
More about Remote Radar Signal Processing Engineer jobs

What cities are hiring for Remote Radar Signal Processing Engineer jobs?

Cities with the most Remote Radar Signal Processing Engineer job openings:

What are the most commonly searched types of Radar Signal Processing Engineer jobs?

The most popular types of Radar Signal Processing Engineer jobs are:

What states have the most Remote Radar Signal Processing Engineer jobs?

States with the most job openings for Remote Radar Signal Processing Engineer jobs include:

Infographic showing various Remote Radar Signal Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $131,250 per year, or $63.1 per hour.

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted yesterday


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).