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Senior Software Engineer Jobs in Irmo, SC (NOW HIRING)

Dominion Energy

Software Engineer

Cayce, SC · On-site

$81K - $106K/yr

Work closely with other software engineers and team members to understand the system end-to-end and perform system analysis. Analyze, design, configure and develop the business logic and backend ...

Dominion Energy

Software Engineer

Cayce, SC · Hybrid

$81K - $106K/yr

Work closely with other software engineers and team members to understand the system end-to-end and perform system analysis. Analyze, design, configure and develop the business logic and backend ...

Twenty80 LLC

Jr Software Engineer

Columbia, SC · On-site

In this role, you'll work at the intersection of software engineering, reverse engineering, vulnerability research, and cloud technologies. You'll analyze complex software systems, identify critical ...

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 JobsSoftware Engineer JobsSenior Software Engineer JobsSenior Software Engineer Jobs in Irmo, SC

Senior Software Engineer information

See Irmo, SC salary details

$61.6K

$117K

$156.8K

How much do senior software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior software engineer in Irmo, SC is $117,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a senior software engineer?

A senior software engineer designs, codes, tests, and maintains computer software. While these are your primary responsibilities as a senior software engineer, you may also have supervisory duties. These include overseeing a team of junior software engineers or developers. The senior software engineer title is sometimes used interchangeably with senior developer, and positions for both may share similar job duties and responsibilities. In general, software engineers are distinguished from developers in that software engineers apply engineering principles to software development.

What are the key skills and qualifications needed to thrive as a senior software engineer, and why are they important?

To thrive as a Senior Software Engineer, you need advanced programming skills, deep understanding of software architecture, and several years of experience in software development, often supported by a relevant degree. Familiarity with tools like Git, CI/CD pipelines, cloud platforms, and expertise in technologies such as Java, Python, or JavaScript are typically required. Leadership, problem-solving, and effective communication are crucial soft skills for mentoring teams and collaborating across departments. These skills ensure the delivery of robust, scalable solutions and drive successful project outcomes in complex technical environments.

What are some common challenges senior software engineers face when mentoring junior team members?

Senior Software Engineers often mentor junior colleagues, which can be incredibly rewarding but also presents challenges. Balancing mentorship with project deadlines can be demanding, as it requires strong time management and communication skills. Additionally, adapting explanations to different learning styles and levels of experience can be tricky. However, effective mentorship helps build a stronger team and can lead to enhanced leadership opportunities for the senior engineer.

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

AspectSenior Software EngineerSoftware Developer
CredentialsBachelor's or higher in CS or related field; experience often 5+ yearsBachelor's in CS or related field; entry to mid-level experience
Work EnvironmentDesigning complex systems, leading projects, mentoringWriting code, developing features, debugging
Industry UsageUsed across tech companies, startups, enterpriseCommon in software firms, startups, freelance work
Search & ComparisonOften compared for experience level, responsibilitiesCompared for entry-level to mid-level roles

The main difference between a Senior Software Engineer and a Software Developer lies in experience, responsibilities, and scope. Senior Software Engineers typically have more experience, lead projects, and mentor others, while Software Developers focus on coding and feature development. Both roles are essential in tech companies, but the Senior Software Engineer position involves higher-level planning and leadership.

What does a senior software engineer do?

A senior software engineer designs, develops, and maintains software applications, often leading projects and mentoring junior team members. They analyze requirements, write code, perform testing, and collaborate with cross-functional teams to ensure quality and efficiency. Proficiency in programming languages, problem-solving skills, and experience with development tools are essential for this role.
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What are the most commonly searched types of Software Engineer jobs in Irmo, SC?

The most popular types of Software Engineer jobs in Irmo, SC are:

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

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

Senior Software Engineer jobs near you
Infographic showing various Senior Software Engineer job openings in Irmo, SC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $117,004 per year, or $56.3 per hour.

Senior AI/ML C++ software engineer

Lexington, SC • On-site

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

Full-time

Re-posted 24 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.
Job Requirements
Minimum Security Clearance:
Bondable
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).

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