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Algorithm Engineer Intern Jobs in Georgia (NOW HIRING)

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Algorithm Engineer Intern information

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$9

$16

$24

How much do algorithm engineer intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for algorithm engineer intern in Georgia is $16.31, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $17.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer Intern position, and why are they important?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an Algorithm Engineer Intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.

What does an Algorithm Engineer Intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

What are the most commonly searched types of Algorithm Engineer jobs in Georgia? The most popular types of Algorithm Engineer jobs in Georgia are:

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

SoloPulse

Peachtree Corners, GA

Other

Posted 21 days ago


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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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