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Computer Vision Engineer Jobs in South Carolina (NOW HIRING)

Goldbelt, Inc.

Computer Engineer III

Charleston, SC · On-site

$75 - $95/hr

Summary: The Engineer, Computer III provides advanced engineering support for enterprise ... vision insurance, a 401(k) plan with company matching, tax‑deferred savings options ...

JIT Manufacturing INC

CAD Programmer

Cowpens, SC · On-site

$20 - $23/hr

We're looking for a motivated Entry-Level CAD Programmer who is eager to learn, contribute, and ... Health, Dental, Vision, Life Insurance * 401(k) + Company Match * Paid Time Off * Employee ...

JIT Manufacturing, Inc

CAD Programmer

Cowpens, SC · On-site

$20 - $23/hr

We're looking for a motivated Entry-Level CAD Programmer who is eager to learn, contribute, and ... Health, Dental, Vision, Life Insurance * 401(k) + Company Match * Paid Time Off * Employee ...

JIT Manufacturing, Inc.

CAD Programmer

Cowpens, SC · On-site

$20 - $23/hr

We're looking for a motivated Entry-Level CAD Programmer who is eager to learn, contribute, and ... Health, Dental, Vision, Life Insurance * 401(k) + Company Match * Paid Time Off * Employee ...

Accura Engineering

Survey CAD Technician

Columbia, SC · On-site

Based on experience and will be discussed with manager in interview Accura Engineering is seeking a ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Alleguard

CAD Designer

Anderson, SC · On-site

$22.25 - $30.75/hr

Degree in drafting, engineering, or related field Benefits We believe in taking care of the people ... Vision care Alleguard Company Values * Safety - We care for our employees by creating and ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in South Carolina

Computer Vision Engineer information

See South Carolina salary details

$45K

$112.8K

$127.6K

How much do computer vision engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer vision engineer in South Carolina is $112,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $122,000.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in South Carolina?

The most popular types of Computer Vision Engineer jobs in South Carolina are:

What are popular job titles related to Computer Vision Engineer jobs in South Carolina?

For Computer Vision Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in South Carolina look for?

The top searched job categories for Computer Vision Engineer jobs in South Carolina are:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $112,761 per year, or $54.2 per hour.

Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 17 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).