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Internship Digital Signal Processing Engineer Jobs in Florida

Apply digital signal processing (DSP), communication systems, and software engineering concepts and principles in the development of software for the target application * Understanding of time domain ...

Apply digital signal processing (DSP), communication systems, and software engineering concepts and principles in the development of software for the target application * Understanding of time domain ...

You will work with a variety of flows fundamental to modern silicon engineering: modeling and ... code Digital signal processing fundamentals including signal processing concepts Strong ...

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Internship Digital Signal Processing Engineer information

What types of projects and responsibilities can I expect as an internship digital signal processing engineer?

As an Internship Digital Signal Processing Engineer, you will likely work on tasks such as developing and testing algorithms for signal processing, analyzing real-world data, and assisting with the implementation of DSP solutions in hardware or software. Interns often collaborate closely with senior engineers and cross-functional teams to support ongoing projects, troubleshoot issues, and document their findings. This role provides hands-on experience with tools like MATLAB, Python, or C++, and gives exposure to industry-standard practices, offering a valuable foundation for future career growth in DSP and related fields.

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

AspectInternship Digital Signal Processing EngineerDigital Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree; no professional certification requiredBachelor's or master's degree in electrical engineering, computer engineering, or related field; professional certifications optional
Work EnvironmentInternship programs, often in research labs or tech companies, with supervised tasksFull-time employment in R&D, product development, or engineering teams
Employer & Industry UsageUsed by companies for training and talent development; industry-wide in electronics, telecom, audio/video processingFull-time role across similar industries, with responsibilities for designing and implementing DSP algorithms

The main difference is that an Internship Digital Signal Processing Engineer is a temporary, entry-level position aimed at gaining experience, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and implementing DSP solutions in various industries.

What are the key skills and qualifications needed to thrive as an internship digital signal processing engineer, and why are they important?

To thrive as an Internship Digital Signal Processing Engineer, a solid background in electrical engineering, mathematics (especially linear algebra and calculus), and signal processing fundamentals is crucial, often supported by relevant coursework or a related degree. Familiarity with programming languages like MATLAB or Python, and tools such as Simulink or LabVIEW, is frequently required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help interns contribute meaningfully to projects. These skills and qualities are essential for developing, analyzing, and optimizing digital signal processing algorithms in collaborative engineering environments.

What is an internship digital signal processing engineer?

Internship digital signal processing (DSP) engineers are students or recent graduates who work under supervision to assist with the design, analysis, and implementation of systems that process digital signals such as audio, video, or sensor data. They typically support teams by developing algorithms, writing code (often in languages like MATLAB, Python, or C), and testing DSP applications in real-world scenarios. These internships provide hands-on experience in applying theoretical concepts from coursework to practical engineering problems, often in industries like telecommunications, audio technology, or medical devices.
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 job categories do people searching Internship Digital Signal Processing Engineer jobs in Florida look for? The top searched job categories for Internship Digital Signal Processing Engineer jobs in Florida are:
What cities in Florida are hiring for Internship Digital Signal Processing Engineer jobs? Cities in Florida with the most Internship Digital Signal Processing Engineer job openings:
Infographic showing various Internship Digital Signal Processing Engineer job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Associate, Electrical Engineer

L3HHCM20

Palm Bay, FL

Full-time

Posted 25 days ago


Job description

Job Title:  Associate, Electrical Engineer

Job ID: 38913

Job Location: Palm Bay, FL

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off  

Job Description: 

  • Determine design approaches and parameters
  • Perform system analysis to determine feasibility of design within time and cost constraints
  • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results
  • Select components and equipment based on analysis of specifications and reliability
  • Perform simulations and present design reviews to peer engineers
  • Write scripts to control synthesis and build tools

Digital Engineering 

  • Design, analyze, modify, test and evaluate FPGA and programmable hardware
  • Design complex Circuit Card Assemblies to support Avionics and Space customer's photonic subsystems and integrated communication systems
  • Digital Design requires programmable logic, VHDL language and digital communications systems knowledge
  • Modem Design (including SATCOM, wireless, cellular and software defined radios) requires knowledge of digital communications systems, waveform generation and signal processing, FPGA design (in VHDL) and familiarity with Digital Signal Processors chips
  • DSP design positions require knowledge of digital signal processing techniques, algorithm development, software coding and simulation/modeling using MATLAB
  • Microelectronics Design requires training in advanced electronics packaging and MEMS technology
    • Experience with high density interconnect and semiconductor packaging technology is desired
    • Determine design approaches and parameters
    • Perform system analysis to determine feasibility of design within time and cost constraints
    • Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results
    • Select components and equipment based on analysis of specifications and reliability
    • Perform simulations and present design reviews to peer engineers
    • Ability to write scripts to control synthesis and build tool

RF Engineering 

  • RF/Microwave Device testing and evaluation including s-parameter, large signal load pull characterization as well as modulated signal measurements
  • Must have familiarity with common commercial RF design and analysis tools to design and analyze RF circuits and systems (i.e. ADS, HFSS, CST, MATLAB, etc)
  • Determine design approaches and parameters.  Analyze electrical requirements to determine feasibility of design within time and cost constraints.  Analyze equipment to establish operating data, conducts experimental tests and evaluates results

Photonics Engineering 

  • Design, analyze, modify, test and evaluate optical communications systems and subsystem level components
  • Design, analyze, modify, test and evaluate RF Photonic systems and subsystem level components

Antenna Engineering 

  • Design, analyze, modify, test, and evaluate antenna systems and subsystem level components.  Utilize design tools such as HFSS, CST, MATLAB, and GRASP  
  • Evaluate antennas in anechoic chambers and use network analyzers

Hardware Design Verification

  • Design and modify tests to verify the operational state of various L3Harris products and accessories
  • Test, analyze, and evaluate the requirements compliance of L3 Harris hardware products
  • Utilize tools such as network analyzers and LabVIEW

Optical Engineering

  • Perform optical design and analysis on advanced telescopes, calibrators, unique optical test sets
  • Develop optical budgets and sensitivities including wavefront error, MTF, line of sight, and throughput
  • Perform analyses to show compliance to optical requirements and specifications for imaging systems, assemblies, component drawings, coatings, etc.
  • Perform tolerancing analyses to assess manufacturability and optical alignment
  • Provide optical modeling, analysis and metrology support during system alignment, integration and testing
  • Perform other unique modeling tasks, such as: spectral tuning/splitting, polarization, phase retrieval, image simulation, etc.
  • Support the development of optical technologies and architectural concepts to support the company's current and new business opportunities

Qualifications:

  • To be eligible, applicants must be pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Materials Engineering, Materials Science Engineering or related field or have completed their Bachelor's degree within the last 12 months, regardless of age.  

Preferred Skills:

  • Knowledge and/or experience with VHDL, MCM, HFSS, Network, Power, Analog, Antennas, Controls, ENE, RF, Photonics, Modem, EDA, DSP, MATLAB, Communication Systems, FPGA, Aerospace industry or Optical Engineering
  • Knowledge of Code V and/or Zemax software tools
  • Knowledge of FRED, Matlab, Python
  • Knowledge of and/or understanding circuit analysis and operational concepts
  • Familiarity with various computing environments (LINUX/Windows)