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Senior Embedded Software Engineer Jobs in Lexington, SC

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 ... briefings to senior military and executive stakeholders. Additional Desired Qualifications

Integer

Software Engineer

Columbia, SC · On-site

... briefings to senior military and executive stakeholders. Additional Desired Qualifications ... We are hardware and software developers with experience transforming research into fieldable ...

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 ...

SunPlus

Sr. Dotnet Developer

Columbia, SC · On-site

$58/hr

JOB # 9250-SC-DES-Sr. Dotnet Developer PAY RATE: $58/hr on W2 or $85K + Benefits InterviewPr ocess ... software engineer or related field * 8 years' experience in building and optimizing SQL statements ...

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All JobsEmbedded Software Engineer JobsSenior Embedded Software Engineer JobsSenior Embedded Software Engineer Jobs in Lexington, SC

Senior Embedded Software Engineer information

See Lexington, SC salary details

$64.6K

$123.9K

$165.6K

How much do senior embedded software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for senior embedded software engineer in Lexington, SC is $123,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a senior embedded software engineer?

A Senior Embedded Software Engineer is an experienced professional who designs, develops, tests, and maintains software that runs on embedded systems—specialized computing devices that are not traditional computers, such as automotive control systems, medical devices, or consumer electronics. They often work closely with hardware engineers to ensure software integrates seamlessly with hardware components. Senior engineers typically lead projects, mentor junior staff, and contribute to system architecture and design decisions. Their expertise includes programming languages like C or C++, real-time operating systems, and debugging tools specialized for embedded environments.

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

To thrive as a Senior Embedded Software Engineer, you need deep expertise in embedded C/C++ programming, real-time operating systems (RTOS), and a strong background in computer engineering or a related field. Familiarity with hardware debugging tools (such as oscilloscopes and logic analyzers), version control systems (like Git), and relevant certifications (e.g., ARM Accredited Engineer) is typically required. Exceptional problem-solving, communication, and project leadership skills help you collaborate effectively and mentor junior engineers. These competencies ensure the creation of robust, efficient, and reliable embedded systems critical for product success.

What are some common challenges senior embedded software engineers face when integrating software with new hardware platforms?

Senior Embedded Software Engineers often encounter challenges such as ensuring software compatibility with diverse hardware architectures, optimizing for limited memory or processing power, and debugging hardware-software interactions. These engineers must frequently collaborate with hardware teams to resolve timing issues, manage device drivers, and ensure reliable system performance. Successfully navigating these challenges requires strong problem-solving skills, adaptability, and a deep understanding of both hardware constraints and software design.

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

AspectSenior Embedded Software EngineerEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Engineering, Electrical Engineering, or related field; experience in embedded systemsBachelor's degree in relevant field; entry-level to mid-level experience
Work EnvironmentDesigning, developing, testing embedded systems for hardware productsDeveloping firmware and software for embedded devices, often under supervision
Employer & Industry UsageTech companies, automotive, aerospace, consumer electronicsSimilar industries, often as part of product development teams

The main difference between a Senior Embedded Software Engineer and an Embedded Software Engineer lies in experience and responsibility. Senior engineers typically have more expertise, lead projects, and mentor junior staff, while embedded software engineers focus on developing and testing embedded code. Both roles require similar technical skills and industry knowledge, but senior roles involve greater leadership and strategic input.

What cities near Lexington, SC are hiring for Senior Embedded Software Engineer jobs?

Cities near Lexington, SC with the most Senior Embedded Software Engineer job openings:

Senior Embedded Software Engineer jobs near you

Senior AI/ML C++ software engineer

Lexington, SC

MLS Technologies
Recruiting and Staffing Services • 11 - 50 employees
Learn more about MLS Technologiesexternal

$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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