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Software Development Engineer Internship Jobs in Columbia, SC

... software development Companies. With a partnership of all major technology vendors, Infojini ... Position: Software Developer Location: Columbia, SC 29201 Duration: 6+ months DAILY DUTIES ...

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

We are seeking a highly capable Senior Software Engineer to deliver high-quality, scalable software ... Create a plan for your work by gathering information from your squad and the broader R&D ...

This is an on-site, part-time internship with flexible scheduling around academic calendars. Hourly ... engineering use. * Support troubleshooting and debugging efforts across hardware and software ...

Software Developer Augusta, Ga Work Location & Schedule This is a hybrid position based in our ... At TaxSlayer, we're more than just a tax software development company; we're empowering individuals ...

Software Engineer, Backend

Columbia, SC · On-site

$155K - $222K/yr

Development Lifecycle: Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in ...

Software Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Showing results 21-40

Software Development Engineer Internship information

See Columbia, SC salary details

$12

$23

$35

How much do software development engineer internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for software development engineer internship in Columbia, SC is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $26.68 per hour, depending on experience, location, and employer.

What is the difference between Software Development Engineer Internship vs Software Development Engineer?

AspectSoftware Development Engineer InternshipSoftware Development Engineer
Required CredentialsTypically pursuing or recently completed a bachelor's or master's degree in computer science or related fieldBachelor's or higher degree in computer science or related field, with relevant experience
Work EnvironmentTemporary, project-based, often in tech companies or startupsFull-time, ongoing employment in software development teams
Employer & Industry UsageUsed by tech companies, startups, and large corporations for training and talent pipelineStandard full-time role across tech, finance, healthcare, and other industries

The main difference is that a Software Development Engineer Internship is a temporary, entry-level position aimed at gaining experience, while a Software Development Engineer is a full-time, permanent role focused on developing software products and systems.

What is a software development engineer internship?

A Software Development Engineer Internship is a temporary position for students or recent graduates to gain hands-on experience in software engineering. Interns typically work on real-world projects alongside experienced engineers, learning how to design, develop, test, and maintain software applications. These internships help individuals build technical skills, gain industry knowledge, and often serve as a pathway to full-time roles after graduation.

What types of projects can I expect to work on during a software development engineer internship?

As a Software Development Engineer Intern, you'll typically work on real-world projects that contribute to your team's goals, such as developing new features, fixing bugs, or improving existing systems. You may be assigned to collaborate with full-time engineers on coding tasks, code reviews, or testing processes. Interns often participate in sprint planning meetings and are encouraged to share ideas, ask questions, and seek feedback. This hands-on experience helps you build technical skills, gain exposure to the software development lifecycle, and understand how engineering teams collaborate in a professional setting.

What are the key skills and qualifications needed to thrive as a software development engineer intern?

To thrive as a Software Development Engineer Intern, you need a solid understanding of programming languages (such as Java, Python, or C++), algorithms, and data structures, usually backed by ongoing computer science coursework. Familiarity with version control systems like Git, integrated development environments (IDEs), and issue tracking tools is typically expected. Strong problem-solving skills, teamwork, and effective communication help interns stand out and integrate smoothly into development teams. These abilities are crucial for quickly learning on the job, contributing to projects, and collaborating effectively in a fast-paced tech environment.

How can I get an internship as a software development engineer internship?

To secure a software development engineer internship, candidates should build strong programming skills in languages like Java, C++, or Python, and gain experience through personal projects or open-source contributions. Applying through company career portals, attending career fairs, and networking with professionals can increase opportunities, while some internships may require coursework in computer science or related fields. Preparing a well-crafted resume and practicing technical interviews are also essential steps.
What are popular job titles related to Software Development Engineer Internship jobs in Columbia, SC? For Software Development Engineer Internship jobs in Columbia, SC, the most frequently searched job titles are:
Infographic showing various Software Development Engineer Internship job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $48,909 per year, or $23.5 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC

$104K - $138K/yr

Full-time

Re-posted 20 days ago


Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector.

This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI .

Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
Education:Bachelor LevelEmployment Type: FULL_TIME