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Digital Signal Processing Jobs in Florida (NOW HIRING)

ENSCO - Hot Jobs

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Demonstrated understanding of digital signal processing, mathematics and in-depth knowledge of time series analytical expertise is required. ENSCO's Mission System Group (MSG) Division provides ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Demonstrated understanding of digital signal processing, mathematics and in-depth knowledge of time series analytical expertise is required. ENSCO's Mission System Group (MSG) Division provides ...

Motorola

Embedded Software Engineer (DSP)

Plantation, FL

$63.80K - $97.60K/yr

While this position involves Digital Signal Processing (DSP) implementation, we are prioritizing candidates with a strong Object-Oriented embedded background. Additionally, our team is rapidly ...

Sparton Corporation

$97.50K - $127K/yr

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

ENSCO, Inc.

Sr. Application Developer

Melbourne, FL · Hybrid

$89K - $122.40K/yr

Experience with digital signal processing algorithms and their applications. Experience developing or maintaining linux based sensor collection systems. Experience with wireless networking ...

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How much do digital signal processing jobs pay per hour?

As of May 31, 2026, the average hourly pay for digital signal processing in Florida is $35.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $45.82 per hour, depending on experience, location, and employer.

What is a Digital Signal Processing job?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Digital Signal Processing position, and why are they important?

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

What kind of projects or problems do Digital Signal Processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.
More about Digital Signal Processing jobs
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Digital Signal Processing jobs near you

AI/ML Software Engineer

Cooperidge Consulting Firm

Sarasota, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Cooperidge Consulting Firm is seeking an AI/ML Engineer for a top Signal Processing/Defense client.

This critical role designs, develops, and implements Artificial Intelligence/Machine Learning solutions for complex Signal Intelligence (SIGINT) processing and decision-making problems. The Engineer focuses on building models for event characterization, anomaly detection, and automated analysis of large-scale sensing systems to deliver intelligent insights for critical Intelligence Community and Department of Defense missions, requiring a high degree of drive and dedication.
Job Responsibilities

  • Design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs, including working with time-series data.
  • Develop specialized models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
  • Work closely with team leads to successfully integrate AI/ML capabilities into enterprise architectures.
  • Ensure performant processing while strictly considering aspects of model accuracy, security, and long-term maintainability.
  • Enable autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments.
  • Discover features and infer system states from underlying data streams to support large-scale sensing systems and deliver intelligent insights.
  • Apply strong knowledge of MLOps, deployment, processing pipelines, testing, and validation to all solutions.

Requirements

Education
  • Bachelor of Science (BS) degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a related field is required.
Experience
  • Minimum of one (1) year of hands-on experience in AI or ML in a professional environment is required (3–5 years preferred).
  • Experience in design, deployment, and support of AI/ML models for significant real-world applications is desirable.
Certifications/Licenses
  • US Citizenship is MANDATORY.
  • Active TS/SCI clearance is MANDATORY.
Skills
  • Strong programming background with experience using statistical and signal analysis libraries is required.
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  • Experience with neural network architectures, including deep learning models, and understanding of transformer architectures is required.
  • Knowledge of digital signal processing fundamentals, RFML, LLMs (fine-tuning, prompt engineering), and adversarial ML techniques is preferred.
  • Experience creating and deploying containerized AI models (Docker/Kubernetes) or working with cloud AI platforms (AWS, Azure, Google) is preferred.

Benefits

  • Full-time roles offering overtime and weekend work opportunities
  • Competitive hourly wages plus potential quarterly bonuses
  • Comprehensive health, vision, and dental insurance plans
  • Life insurance coverage
  • 401(k) retirement plan with company matching contributions
  • Paid time off including vacation, sick leave, and holidays
  • Opportunities for career growth and advancement
  • Employee discount programs and perks