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Digital Signal Processing Engineer Jobs in Florida

Sparton Corporation

$87K - $113K/yr

Experience implementing microcontrollers, digital signal processors (DSPs), and field programmable gate arrays (FPGAs) * Experienced implementing communication protocols (I2C, SPI, Ethernet, UART ...

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All JobsDigital Signal Processing Engineer JobsDigital Signal Processing Engineer Jobs in Florida

Digital Signal Processing Engineer information

See Florida salary details

$40K

$98.2K

$144.6K

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

As of Jun 25, 2026, the average yearly pay for digital signal processing engineer in Florida is $98,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $110,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Signal Processing Engineer, and why are they important?

To thrive as a Digital Signal Processing (DSP) Engineer, you need a strong background in mathematics, signal processing theory, and proficiency in programming languages like MATLAB, C/C++, or Python, often supported by a degree in electrical engineering or a related field. Familiarity with DSP hardware, simulation tools, and platforms like FPGA or DSP processors is typically required, and certifications in embedded systems or signal processing are advantageous. Problem-solving ability, analytical thinking, and effective teamwork set candidates apart in this field. These skills are crucial for designing, implementing, and optimizing algorithms that process digital signals accurately and efficiently in various applications.

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

AspectDigital Signal Processing EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering or related fields
Work EnvironmentResearch labs, tech companies, telecommunications firmsPower plants, manufacturing, electronics design
Industry UsageSignal processing, communications, audio/video techPower systems, electronics, control systems
Common Search IntentComparing roles in signal processing and electronicsBroader electrical engineering roles

The Digital Signal Processing Engineer specializes in designing algorithms and systems for processing digital signals, often within communications, audio, and video applications. Electrical Engineers have a broader scope, working on electrical systems, power, and electronics across various industries. While both roles require similar educational backgrounds, their focus areas and work environments differ significantly.

What does a Digital Signal Processing Engineer do?

A Digital Signal Processing (DSP) Engineer designs, develops, and implements algorithms and systems that manipulate and analyze signals such as audio, video, and sensor data. They work on both hardware and software to improve signal quality, extract useful information, or compress data for efficient storage and transmission. DSP Engineers are essential in industries like telecommunications, audio engineering, medical imaging, and consumer electronics, where they help create products such as smartphones, hearing aids, and radar systems.

What are some common challenges Digital Signal Processing Engineers face when integrating new algorithms into existing systems?

Digital Signal Processing Engineers often encounter challenges such as ensuring compatibility between new algorithms and legacy hardware or software, maintaining real-time processing requirements, and optimizing for limited computational resources. Debugging and validating algorithm performance under various signal conditions can also be complex, requiring collaboration with hardware engineers and extensive testing. Effective communication with cross-functional teams is essential to address integration issues and achieve system-wide functionality.
What are the most commonly searched types of Digital Signal Processing Engineer jobs in Florida? The most popular types of Digital Signal Processing Engineer jobs in Florida are:
What are popular job titles related to Digital Signal Processing Engineer jobs in Florida? For Digital Signal Processing Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Digital Signal Processing Engineer jobs in Florida look for? The top searched job categories for Digital Signal Processing Engineer jobs in Florida are:
Digital Signal Processing Engineer jobs near you
AI/ML Software Engineer (Active Clearance Required)

AI/ML Software Engineer (Active Clearance Required)

MRSL Real-Time Systems Laboratory Inc

Sarasota, FL

Other

Posted 27 days ago

Job description

Job Duties : You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.

This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions. AI/ML Software Engineer for Signal Processing Applications Requirements: We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running. Required Minimum Qualifications: TS/SCI active clearance required. U.S

Citizenship required BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) Solid programming background with experience using statistical and signal analysis libraries Experience with neural network architectures including deep learning models Understanding of transformer architectures and attention mechanisms Strong understanding of MLOps, deployment and processing pipelines, testing/validation Nice to have, but not required: Understanding of digital signal processing fundamentals Experience with RFML Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering Knowledge of AI applications for autonomous decision-making and analysis Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches Experience with reinforcement learning, human feedback, and related system learning methods Experience creating and deploying containerized AI models with Docker/Kubernetes Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) Experience with model monitoring, A/B testing, and performance optimization Experience with real-time inference systems and low-latency model serving Knowledge of adversarial ML and AI security/robustness techniques Experience with graph neural networks for network analysis Experience in design, deployment, support of AI or ML model for significant real-world applications

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