ZipRecruiter

Log In

1

Flexible Signal Processing Engineer Jobs in Crete, IL

NinjaTrader

GRC Engineer

Chicago, IL · On-site

You'll serve as the bridge between Security, Engineering, and the business by transforming manual, evidence-heavy compliance work into automated, repeatable processes while helping leadership ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other ... signal processing, machine learning, embedded systems, and robotics. You can pick a primary area ...

Federal Signal

Engineer II - Mechanical

Crete, IL

$68K - $98K/yr

Federal Signal is seeking a driven and innovative Mechanical Engineer II to join our engineering ... Design for a variety of manufacturing processes (injection molding, sheet metal, machining ...

Stepan Company

Process Engineer

Elwood, IL

$77K - $110K/yr

The Process Engineer will provide technical support in development and execution of Capital ... Dependent Care Flexible Spending Account (FSA) * Health Savings Account (HSA) * Paid Parental Leave

Stepan

Process Engineer

Elwood, IL

$77K - $110K/yr

The Process Engineer will provide technical support in development and execution of Capital ... Dependent Care Flexible Spending Account (FSA) * Health Savings Account (HSA) * Paid Parental Leave

next page

Showing results 1-20

All JobsSignal Processing Engineer JobsFlexible Signal Processing Engineer JobsFlexible Signal Processing Engineer Jobs in Crete, IL

Flexible Signal Processing Engineer information

See Crete, IL salary details

$51.2K

$125.8K

$185.4K

How much do flexible signal processing engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for flexible signal processing engineer in Crete, IL is $125,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $141,300.00 per year, depending on experience, location, and employer.

What does a flexible signal processing engineer do?

A Flexible Signal Processing Engineer designs, develops, and implements algorithms and systems for processing signals—such as audio, video, radar, or communications signals—across a range of applications. The 'flexible' aspect refers to their ability to adapt to different platforms, technologies, and requirements, often working with both hardware and software solutions. These engineers use mathematical techniques and specialized tools to filter, analyze, and interpret raw data signals, improving performance and functionality. They often collaborate with cross-functional teams to integrate their solutions into larger systems, such as telecommunication devices or medical imaging equipment.

What are the typical collaboration dynamics for a flexible signal processing engineer within a multidisciplinary team?

As a Flexible Signal Processing Engineer, you’ll often work closely with hardware engineers, software developers, and system architects to integrate your algorithms into broader systems. Collaboration usually includes regular design meetings, code reviews, and troubleshooting sessions to ensure seamless signal flow and system performance. You may be tasked with translating project requirements into technical specifications and providing feedback on cross-functional dependencies. Effective communication and adaptability are vital, as priorities can shift quickly depending on project milestones and client feedback.

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

To excel as a Flexible Signal Processing Engineer, you need a solid background in digital signal processing (DSP), mathematics, and electrical engineering, often supported by a relevant degree. Familiarity with tools like MATLAB, Simulink, Python, and programming languages such as C/C++, along with experience in FPGA or embedded systems, is typically required. Strong problem-solving abilities, adaptability, and effective communication help you manage complex projects and collaborate across multidisciplinary teams. These skills are crucial for developing innovative signal processing solutions and ensuring adaptability in dynamic technological environments.

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

AspectFlexible Signal Processing EngineerDigital Signal Processing Engineer
CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fieldsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentResearch labs, tech companies, telecommunications, aerospaceTelecommunications, consumer electronics, audio/video industries
Industry UsageFlexible, adaptable to various signal processing tasks and platformsSpecialized in digital signal algorithms and hardware/software implementation
Comparison FocusBroader scope, adaptable to multiple signal types and applicationsFocus on digital signals and processing techniques

The main difference is that a Flexible Signal Processing Engineer works across various signal types and platforms, offering adaptable solutions, while a Digital Signal Processing Engineer specializes in digital signals and algorithms. Both roles require similar educational backgrounds and are common in tech and communications industries, but their focus areas differ in scope and application.

What cities near Crete, IL are hiring for Flexible Signal Processing Engineer jobs?

Cities near Crete, IL with the most Flexible Signal Processing Engineer job openings:

Flexible Signal Processing Engineer jobs near you

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 11 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).