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

Senior Software Engineer About Kaleris Kaleris is a private equity-backed software firm focused on supply chain optimization, headquartered in Atlanta, Georgia. We are a global leader in the supply ...

Sr. Software Engineer

Columbia, SC · Remote

$150K - $175K/yr

SENIOR SOFTWARE ENGINEER POSITION SUMMARY We are seeking a Sr. Software Engineer and or Jr. Platform Architect to serve as technical lead responsible for day-to-day development, design, build, and ...

Senior Software Engineer - Mainframe

Columbia, SC · On-site

$113K - $149K/yr

The Senior Software Engineer plays a key role in the conceptualization, design, development, and delivery of mainframe solutions in partnership with business area architects. As an integral member of ...

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 solutions across complex systems. This role requires a deep understanding of modern cloud-native ...

Controls Engineer

Blythewood, SC · On-site

$66K - $86K/yr

Basic ability and understanding of programming using either LabVIEW, PLC ladder logic, or other embedded control languages. * Experience with software controls and software development tools ...

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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 Jul 17, 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 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.

What Is an Embedded Software Engineer?

Embedded software is installed on devices that operate like personal computers. Examples of embedded software can be found in geographic positioning systems, or GPS devices, smart watches, and calculators. Embedded software engineers perform a range of embedded software engineering functions, including running system software updates and designing software for embedded systems. Embedded software engineers also advise on product development, approve new product designs, and optimize the product lifecycle.

Will AI replace embedded system engineers?

Embedded software engineers design and develop software for embedded systems, and while AI tools can assist with coding and testing, they are unlikely to fully replace the need for human expertise in understanding hardware constraints, system integration, and troubleshooting. AI can enhance productivity but requires skilled engineers to oversee, interpret, and implement solutions effectively.

What are the key skills and qualifications needed to thrive as an Embedded Software Engineer, and why are they important?

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.

What are Embedded Software Engineers?

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 do embedded software engineers do?

Embedded software engineers develop, test, and maintain software that runs on hardware devices such as microcontrollers, sensors, and embedded systems. They write code primarily in C or C++, often using specialized tools and real-time operating systems to ensure efficient and reliable device performance.

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 engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, certifications, and extensive industry experience.

Can I make 200k a year as a software engineer?

Embedded Software Engineers can potentially earn $200,000 or more annually, especially with extensive experience, specialized skills in areas like real-time systems or safety-critical applications, and working in high-paying industries such as aerospace or automotive. Achieving this salary often requires advanced certifications, a strong track record, and positions in regions with higher compensation levels. Entry-level or general roles typically offer lower salaries, but senior engineers with expertise in embedded systems can reach or exceed this income level.
What are the most commonly searched types of Embedded Software Engineer jobs in Columbia, SC? The most popular types of Embedded Software Engineer jobs in Columbia, SC are:
What are popular job titles related to Embedded Software Engineer jobs in Columbia, SC? For Embedded Software Engineer jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Embedded Software Engineer jobs in Columbia, SC look for? The top searched job categories for Embedded Software Engineer jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Embedded Software Engineer jobs? Cities near Columbia, SC with the most Embedded Software Engineer job openings:
Infographic showing various Embedded Software Engineer job openings in Columbia, SC as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $141,901 per year, or $68.2 per hour.

Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC

$104K - $138K/yr

Full-time

Posted 26 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).