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Digital Signal Processing Intern Jobs (NOW HIRING)

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How much do digital signal processing intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for digital signal processing intern in the United States is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

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

To thrive as a Digital Signal Processing (DSP) Intern, you need a solid background in mathematics, signal processing theory, and programming, typically supported by coursework in electrical engineering or computer science. Familiarity with tools such as MATLAB, Python, and DSP simulation software is commonly required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for problem-solving and teamwork. These skills ensure you can contribute to developing and optimizing signal processing algorithms in real-world engineering projects.

What types of projects and tasks can a Digital Signal Processing Intern expect to work on during their internship?

As a Digital Signal Processing (DSP) Intern, you can expect to be involved in projects such as designing, implementing, and testing algorithms for audio, image, or communications processing. Typical tasks include coding in languages like MATLAB or Python, analyzing real-world signals, and assisting with performance optimization. You may also collaborate with senior engineers on research, data collection, and documentation. This hands-on experience provides valuable exposure to both theoretical and practical aspects of DSP in a collaborative team environment.

What does a Digital Signal Processing Intern do?

A Digital Signal Processing (DSP) Intern assists in the development, analysis, and implementation of algorithms for processing digital signals such as audio, images, or sensor data. They typically work under the guidance of experienced engineers, using tools like MATLAB, Python, or C/C++ to build and test signal processing systems. Responsibilities may include data collection, simulation, debugging code, and documenting results. The internship provides hands-on experience in applying theoretical concepts from coursework to real-world engineering problems.
What cities are hiring for Digital Signal Processing Intern jobs? Cities with the most Digital Signal Processing Intern job openings:
What are the most commonly searched types of Digital Signal Processing jobs? The most popular types of Digital Signal Processing jobs are:
What states have the most Digital Signal Processing Intern jobs? States with the most job openings for Digital Signal Processing Intern jobs include:

Radar Digital Signal Processing (DSP) Intern/Co-Op

SoloPulse

Peachtree Corners, GA โ€ข On-site

Internship

Posted yesterday


Job description

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees.
SoloPulse is seeking a talented Radar Signal Processing Intern to join our dynamic and innovative organization. In this role you will have the opportunity to develop and implement advanced algorithms for radar systems contributing to the success of critical commercial and defense projects. To excel in this role, you must possess strong analytical skills, a deep desire to learn radar signal processing techniques, and a drive to continuously improve and innovate.
Responsibilities
  • Technical challenges cover a broad range of disciplines including antennas, the entire transmit and receive chain, radar system modeling, ground moving target identification, electronic warfare, maritime surveillance, image processing, algorithm development for advanced Radar image products and exploitation
  • Design, development, and analysis of radar system and software architectures
  • Design, implementation, and testing of algorithms for detection, discrimination and tracking systems
  • Modeling and simulation of system designs to demonstrate performance metrics
  • Develop unique solutions and efficient implementations of signal processing algorithms for challenging mission applications
  • Use common industry signal processing tools such as MATLAB, Python or C++ to analyze data and generate algorithms
  • Analyze system level signal propagation, RF system performance, requirements development and review
  • Collaborate with a broad range of cross-functional teams including mechanical, software, program management, and senior leadership

Qualifications
  • Must be pursuing a Bachelor's, Master's, or PhD in mathematics, physics, engineering, or other technical field
  • Proficiency in Matlab, Python, and/or C++
  • Knowledge of digital signal processing techniques such as matched filters, Fourier transforms, and Nyquist sampling rates
  • Strong communication and teamwork skills

Bonus Qualifications
  • Knowledge of maximum likelihood estimators (MLE), stretch processing (or FMCW processing), Doppler shift
  • Knowledge of synthetic aperture radar (SAR) algorithms

Join our team and be part of a dynamic, collaborative environment where innovation and creativity thrive. We offer competitive compensation and the opportunity to work on groundbreaking projects that will shape the future of radar technology.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.