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Full Time Comcast Software Engineer Jobs in Columbia, SC

Hahn Group

Controls Engineer, Software M/F

Columbia, SC · On-site

$41.75 - $53.50/hr

Reference 2026-1789 Functional Area Software Position description Job title Controls Engineer, Software M/F Employment type Full Time The principal duties will include, but not be limited to: Develop ...

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All JobsComcast Software Engineer JobsFull Time Comcast Software Engineer JobsFull Time Comcast Software Engineer Jobs in Columbia, SC

Full Time Comcast Software Engineer information

See Columbia, SC salary details

$58.7K

$136.5K

$190.1K

How much do full time comcast software engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time comcast software engineer in Columbia, SC is $136,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Comcast Software Engineer vs Full Time Comcast Network Engineer?

AspectFull Time Comcast Software EngineerFull Time Comcast Network Engineer
Required CredentialsBachelor's in CS or related field, programming skills, possibly certifications like CCNA or CCNPBachelor's in Networking, IT, or related field, networking certifications (e.g., CCNA, CCNP)
Work EnvironmentDeveloping, testing, and maintaining software applications in office or remote settingsDesigning, implementing, and troubleshooting network infrastructure in office or field environments
Employer & Industry UsagePrimarily in software development teams within telecommunications industryWithin network operations and infrastructure teams in telecommunications industry

The main difference between a Full Time Comcast Software Engineer and a Full Time Comcast Network Engineer lies in their focus areas. Software Engineers develop and maintain software applications, while Network Engineers manage and troubleshoot network infrastructure. Both roles require technical certifications and work within the telecommunications industry, but their daily tasks and skill sets differ significantly.

What are the most commonly searched types of Comcast Software Engineer jobs in Columbia, SC?

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Full Time Comcast Software Engineer jobs near you

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC

$104K - $138K/yr

Full-time

Re-posted 16 hours 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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