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Computer Vision Engineer Jobs in Concord, NC (NOW HIRING)

Everseen

PreSales Engineer

Charlotte, NC · On-site

The Role Join the Everseen Go-To-Market Team as a PreSales Engineer and become the technical ... Stay up to date with all new developments in Everseen's technology, Computer vision, Gen AI, and ...

The Hartford

Staff Software Engineer - AI

Charlotte, NC · On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Experience withnatural language processing (NLP),computer vision, orreinforcement learning.

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

... with DevOps practices. Experience in deploying and maintaining AI systems in production environments. Solid understanding of machine learning, NLP, computer vision, and other relevant AI fields.

CYNET SYSTEMS

AWS Data Scientist

Charlotte, NC · On-site

$75/hr

Perform data collection, cleaning, and feature engineering to prepare datasets for modeling ... Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision ...

Accura Engineering

Survey CAD Technician

Charlotte, NC · 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.

Deloitte

Physical AI Senior Manager

Charlotte, NC

$123K - $163K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

TEP

OSP CAD Designer

Charlotte, NC · On-site

$20 - $24/hr

Fiber Engineering Company: TEP About the Role: TEP is looking for a full-time OSP CAD Designer to ... Medical, dental, and vision insurance * Paid vacation and holidays * 401(k) with company match

JDS Consulting, PLLC

CAD TECHNICIAN II

Charlotte, NC · Remote

$45K - $60K/yr

Possess an associate degree in Engineering, Architecture, Planning, Surveying, or a closely related ... Vision insurance * Bonus structure Compensation: Pay Frequency: Semi-Monthly Pay is commensurate ...

JDS Consulting, PLLC

CAD TECHNICIAN II

Charlotte, NC · Remote

$45K - $60K/yr

Possess an associate degree in Engineering, Architecture, Planning, Surveying, or a closely related ... Vision insurance * Bonus structure Compensation: Pay Frequency: Semi-Monthly Pay is commensurate ...

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Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Concord, NC

Computer Vision Engineer information

See Concord, NC salary details

$45.2K

$113.2K

$128.1K

How much do computer vision engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision engineer in Concord, NC is $113,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $122,500.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

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 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.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Concord, NC look for? The top searched job categories for Computer Vision Engineer jobs in Concord, NC are:
What cities near Concord, NC are hiring for Computer Vision Engineer jobs? Cities near Concord, NC with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Concord, NC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $113,177 per year, or $54.4 per hour.
Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC - M

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC - M

Next Step Systems

Charlotte, NC • On-site

Other

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPUaccelerated video analytics for realtime safety monitoring across large fleets and industrial environments. The system processes highvolume video streams, runs YOLObased detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations. Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems. If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building realworld safety applications that make an impact, you will fit right in. This position is 100% Onsite and not open for Remote.

Artificial Intelligence (AI) Engineer Responsibilities:

- Develop and optimize GPUaccelerated video inference pipelines, including batching, stride control, and throughput tuning.

- Implement, evaluate, and improve object detection models (YOLO or similar) and build temporal smoothing/tracking logic for safety event detection.

- Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools to maximize throughput and minimize latency/VRAM usage.

- Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.

- Add robust metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.

- Collaborate on dataset curation, labeling, model training, validation, and experiment tracking.

- Support containerized deployments (Docker) and assist with monitoring and scaling production workloads.

Artificial Intelligence (AI) Engineer Qualifications:

- 3+ years of experience shipping computer vision or machine learning systems to production.

- Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations.

- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks.

- Solid understanding of video processing fundamentals: frame sampling, temporal filtering, confidence thresholds, and multi-camera aggregation.

- Experience optimizing GPU inference performance batching, stride, TensorRT, CUDA, model quantization, and throughput tuning.

- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms is a plus.

- Familiarity with Docker, cloud deployments, and production monitoring systems is a plus.

- Experience in temporal/sequence analysis for event detection is a plus.

- Background in video analytics for safety, compliance, or industrial/transportation environments is a plus.

- Tech Stack: aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML - Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords: Charlotte NC Jobs, Artificial Intelligence (AI) Engineer, aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML, Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO, Video Analytics, North Carolina Recruiters, IT Jobs, North Carolina Recruiting

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