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Internship Graduate Embedded Software Engineer Jobs in Blythewood, SC

Ourhrconnect

Systems Analyst and Software Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... embedded in the South Carolina community. We are the largest insurance company in South Carolina ... Databricks Certified Data Engineer Required Experience: * 12 months related experience in an ...

Accura Engineering

Civil Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Internship or co-op experience in civil engineering preferred. * Exposure to relevant software such as MicroStation, HEC-RAS, or stormwater modeling tools preferred. Benefits: * Competitive salary ...

Accura Engineering

Geotechnical Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Internship or co-op experience in civil engineering preferred. * Exposure to relevant software such as MicroStation, HEC-RAS, or stormwater modeling tools preferred Benefits: * Competitive salary ...

Accura Engineering

Geotechnical Engineer

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Internship or co-op experience in civil engineering preferred. * Exposure to relevant software such as MicroStation, HEC-RAS, or stormwater modeling tools preferred Benefits: * Competitive salary ...

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All JobsGraduate Embedded Software Engineer JobsInternship Graduate Embedded Software Engineer JobsInternship Graduate Embedded Software Engineer Jobs in Blythewood, SC

Internship Graduate Embedded Software Engineer information

See Blythewood, SC salary details

$55.9K

$122.4K

$138.8K

How much do internship graduate embedded software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship graduate embedded software engineer in Blythewood, SC is $122,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $138,000.00 per year, depending on experience, location, and employer.

What does an internship graduate embedded software engineer do?

An Internship Graduate Embedded Software Engineer assists in developing and testing software that runs on embedded systems, such as microcontrollers or specialized hardware. They often work under supervision, collaborating with senior engineers to design, code, and debug embedded applications. Their responsibilities typically include writing code in languages like C or C++, troubleshooting hardware-software integration, and participating in team meetings. This role provides valuable hands-on experience in embedded systems development and helps build foundational skills for a career in embedded engineering.

What are the key skills and qualifications needed to thrive as an internship graduate embedded software engineer?

To thrive as an Internship Graduate Embedded Software Engineer, you generally need a solid foundation in C/C++ programming, embedded systems concepts, and a relevant engineering or computer science degree. Familiarity with microcontroller platforms (such as ARM, AVR, or PIC), debugging tools, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork make candidates stand out in this role. These competencies are crucial for developing reliable embedded solutions and collaborating successfully on technical projects.

What types of projects and responsibilities can an internship graduate embedded software engineer expect to work on during their internship?

As an Internship Graduate Embedded Software Engineer, you can expect to work on a variety of projects that may include developing and testing firmware, debugging hardware-software integration issues, and writing code for microcontrollers or embedded devices. Typical responsibilities often involve collaborating closely with senior engineers and hardware teams, participating in code reviews, and contributing to system-level testing. This role provides valuable hands-on experience with real-world products, exposure to industry-standard development tools, and insight into agile or iterative development processes. You'll gain practical skills and a better understanding of embedded systems through both individual assignments and teamwork.

What is the difference between Internship Graduate Embedded Software Engineer vs Embedded Software Developer?

AspectInternship Graduate Embedded Software EngineerEmbedded Software Developer
CredentialsTypically pursuing or recently completed a degree in Computer Engineering, Electrical Engineering, or related fieldsUsually holds a bachelor's or master's degree in a relevant technical field
Work EnvironmentEntry-level, internship setting, often in a corporate or research labFull-time professional role in development teams, often in tech or manufacturing companies
Employer & Industry UsageUsed by companies hiring interns to evaluate potential future employeesCommonly used by companies developing embedded systems in automotive, consumer electronics, or industrial sectors

The main difference is that an Internship Graduate Embedded Software Engineer is an entry-level intern gaining hands-on experience, while an Embedded Software Developer is a full-time professional responsible for developing embedded systems. Interns typically work under supervision, whereas developers have more responsibilities and independence in their roles.

What job categories do people searching Internship Graduate Embedded Software Engineer jobs in Blythewood, SC look for?

The top searched job categories for Internship Graduate Embedded Software Engineer jobs in Blythewood, SC are:

What cities near Blythewood, SC are hiring for Internship Graduate Embedded Software Engineer jobs?

Cities near Blythewood, SC with the most Internship Graduate Embedded Software Engineer job openings:

Internship Graduate Embedded Software Engineer jobs near you
Infographic showing various Internship Graduate Embedded Software Engineer job openings in Blythewood, SC as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,381 per year, or $58.8 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 29 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

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