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Weekend Video Software Engineer Jobs in North Carolina

... audio, video, messaging, and other data over Wi-Fi, LTE, global satellite, BLE, and CAN to ... May serve as a Lead Software Engineer for complex software development project designs and/or ...

Posted today

Software Engineer

Greensboro, NC · On-site

$79K - $142K/yr

Generally Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility Some weekend work is ... The Software Engineer designs, develops, tests, implements, and maintains enterprise software ...

Signal Software Engineer

Cary, NC · On-site

$130K - $180K/yr

... including audio, video, and data transmission systems for mission-critical applications. Our ... Signal Software Engineer develops, maintains, and enhances signal processing software such as ...

Ability to be on-call over weekends and possibly holidays as needed. What You Will Be Doing * Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.

... video, and data transmission systems for mission\-critical applications. \n \n Our expertise ranges ... Signal Software Engineer develops, maintains, and enhances signal processing software such as ...

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Weekend Video Software Engineer information

What are the most commonly searched types of Video Software Engineer jobs in North Carolina? The most popular types of Video Software Engineer jobs in North Carolina are:
What job categories do people searching Weekend Video Software Engineer jobs in North Carolina look for? The top searched job categories for Weekend Video Software Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Weekend Video Software Engineer jobs? Cities in North Carolina with the most Weekend Video Software Engineer job openings:
Infographic showing various Weekend Video Software Engineer job openings in North Carolina as of June 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

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

Ginas Tech Jobs

Charlotte, NC

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago


Job description

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 GPU‑accelerated video analytics for real‑time safety monitoring across large fleets and industrial environments.  The system processes high‑volume video streams, runs YOLO‑based 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 real‑world safety applications that make an impact, you will fit right in.  This position is 100% Onsite in Charlotte, NC.

Artificial Intelligence (AI) Engineer Responsibilities:

- Develop and optimize GPU‑accelerated 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.

Qualifications

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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We help companies that are looking to hire Artificial Intelligence (AI) Engineers, Video Analytics for jobs in Charlotte, North Carolina and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


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