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Embedded Software Engineer Jobs in Columbia, SC (NOW HIRING)

Integer Technologies

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

This Software Engineer role will be focused on developing software tools supporting system design, development, and manufacturing for customers in the defense, and aerospace, and maritime industries.

Integer

Software Engineer

Columbia, SC · On-site

About the role This Software Engineer role will be focused on developing software tools supporting system design, development, and manufacturing for customers in the defense, and aerospace, and ...

Greenlight Guru

Sr. Software Engineer I

North, SC · Remote

$113K - $149K/yr

We are seeking a highly capable Senior Software Engineer to deliver high-quality, scalable software solutions across complex systems. This role requires a deep understanding of modern cloud-native ...

Stacklok

Sr. Software Engineer - Platform

North, SC · On-site +1

$189K - $231K/yr

As a Senior Engineer on Stacklok's core platform team, you will own subsystems within Stacklok Enterprise, the production distribution of ToolHive, the open source platform for running and governing ...

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All JobsEmbedded Software Engineer JobsEmbedded Software Engineer Jobs in Columbia, SC

Embedded Software Engineer information

See Columbia, SC salary details

$64.8K

$141.9K

$161K

How much do embedded software engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for embedded software engineer in Columbia, SC is $141,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an embedded software engineer?

Embedded Software Engineers are professionals who design, develop, and maintain software that runs on embedded systems—specialized computing devices that are part of larger systems, such as cars, medical devices, industrial machines, and consumer electronics. Their work involves programming in languages like C or C++ to interact closely with hardware components, ensuring optimal performance, reliability, and safety. Embedded Software Engineers work closely with hardware engineers to integrate and test software with physical devices, often working within real-time and resource-constrained environments. Their expertise is crucial in developing the 'brains' of many devices we use every day.

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

To thrive as an Embedded Software Engineer, you need a solid background in computer science or electrical engineering, strong programming skills in C/C++, and experience with embedded systems design. Familiarity with real-time operating systems (RTOS), microcontroller architectures, debugging tools, and version control systems like Git is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top engineers apart. These competencies are crucial for building reliable, efficient, and safe embedded solutions that meet industry standards.

How does an embedded software engineer typically collaborate with hardware engineers during product development?

Embedded Software Engineers work closely with hardware engineers throughout the product development lifecycle. Collaboration often involves joint design reviews, debugging sessions, and integration testing to ensure software and hardware function seamlessly together. Effective communication is crucial, as changes in hardware can impact software functionality and vice versa. This cross-disciplinary teamwork helps resolve technical issues quickly and ensures the end product meets performance and reliability standards.

What is the difference between Embedded Software Engineer vs Firmware Engineer?

AspectEmbedded Software EngineerFirmware Engineer
CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related fields; often requires knowledge of C/C++Similar credentials; strong C/C++ skills, understanding of hardware
Work EnvironmentDevelops software for embedded systems in various industries like automotive, IoT, consumer electronicsFocuses on low-level hardware interaction, often working closely with hardware teams
Industry UsageCommon in automotive, medical devices, consumer electronics, industrial automationPrimarily in consumer electronics, IoT devices, and hardware startups

Embedded Software Engineers design and develop software for embedded systems, focusing on system-level programming. Firmware Engineers write low-level code that directly interacts with hardware components. While both roles require similar skills and work environments, Embedded Software Engineers often work on a broader range of software, whereas Firmware Engineers focus on hardware-specific code. Understanding these differences helps in choosing the right career path or job search focus.

Are embedded software engineers in demand?

Embedded software engineers are in high demand due to the growth of IoT, automotive, medical devices, and consumer electronics industries. They often require skills in C, C++, and real-time operating systems, with job opportunities increasing globally as embedded systems become more integral to technology development.
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Embedded Software Engineer jobs near you
Infographic showing various Embedded Software Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $141,901 per year, or $68.2 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 7 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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