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Machine Vision Software Engineer Jobs in South Carolina

Siemens

Automation Engineer

Spartanburg, SC · On-site

Integrating robotics, machine vision systems, and automated equipment into manufacturing operations ... Experience with software integrations using Java or Python. * Experience implementing and ...

Sttark

Be Seen First

Mechanical Engineer/ Systems Engineer

Greenville, SC · On-site

$80K - $95K/yr

Title Mechanical Engineer/ Systems Engineer The Role We build our own manufacturing machines. Not ... Experience with machine vision, motion control, or software-integrated manufacturing systems.

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

The Role We're hiring a Senior Software Engineer to join our engineering team in Greenville, SC, on ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

The Role We're hiring a Senior Software Engineer to join our engineering team in Greenville, SC, on ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Truleo, Inc.

Senior Software Engineer

Greenville, SC · On-site

$100 - $130/hr

The Role We're hiring a Senior Software Engineer to join our engineering team in Greenville, SC ... Experience with Python, machine learning (ML), ML Ops * Experience building AI‑powered systems.

TRULEO

Senior Software Engineer

Greenville, SC

$115K - $151K/yr

The Role We're hiring a Senior Software Engineer to join our engineering team in Greenville, SC, on ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Worky

Senior Software Engineer IV

Hollywood, SC · On-site

$120 - $150/hr

The Senior Software Engineer IV will own architecture, design, and engineering of core STARLIMS ... Competitive health and Wellness (medical, dental, and vision) * Retirement plan with matching ...

SNAP Diagnostics

Software Engineer 1

Anderson, SC · On-site

JOB SUMMARY A Software Engineer 1 is responsible for developing front-end and back-end solutions ... Translate strategy into a technical vision using prototypes, simulations, and other research ...

Enlighten

Software Engineer (Hybrid) - 29025

Greenville, SC · On-site

$95K - $135K/yr

... are, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • ... As a Software Engineer, you will be responsible for designing, developing, and implementing complex ...

EPC POWER CORP.

Senior Software Engineer

Fountain Inn, SC · On-site

$122K - $138K/yr

EPC Power is looking to add a Senior Software Engineer to our engineering team. In this role you ... Medical, dental, and vision insurance * Disability and life insurance * Flexible Spending Account ...

EPC POWER CORP.

Senior Software Engineer

Fountain Inn, SC · On-site

$122K - $138K/yr

Description EPC Power is looking to add a Senior Software Engineer to our engineering team. In this ... Medical, dental, and vision insurance * Disability and life insurance * Flexible Spending Account ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in South Carolina

Machine Vision Software Engineer information

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

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

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

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

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

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

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

What cities in South Carolina are hiring for Machine Vision Software Engineer jobs?

Cities in South Carolina with the most Machine Vision Software Engineer job openings:

Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software 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.

Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 16 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).