AI Engineer: Video Analytics Location ... Charlotte, NC Employment Type: Full time The VTrack Vision team builds GPU accelerated video ...
AI Engineer: Video Analytics Location ... Charlotte, NC Employment Type: Full time The VTrack Vision team builds GPU accelerated video ...
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
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Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
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Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Quick apply
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Quick apply
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
Multiple locations across United States Job Type: Full-Time / Contract Note: We are looking for ... Collaborate with data engineers, analysts, and leadership stakeholders * Ensure dashboards are ...
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Full Time Video Engineer information
See salary details
$30.5K - $40.4K
8% of jobs
$40.4K - $50.3K
3% of jobs
$50.3K - $60.2K
0% of jobs
$66.1K is the 25th percentile. Wages below this are outliers.
$60.2K - $70.1K
23% of jobs
$70.1K - $80K
9% of jobs
The median wage is $85.5K / yr.
$80K - $90K
11% of jobs
$90K - $99.9K
16% of jobs
$103.8K is the 75th percentile. Wages above this are outliers.
$99.9K - $109.8K
10% of jobs
$109.8K - $119.7K
8% of jobs
$119.7K - $129.6K
3% of jobs
$129.6K - $139.5K
7% of jobs
$30.5K
$88.3K
$139.5K
How much do full time video engineer jobs pay per year?
What is the difference between Full Time Video Engineer vs Video Technician?
| Aspect | Full Time Video Engineer | Video Technician |
|---|---|---|
| Credentials | Relevant degree or certification in video production or engineering | Technical certifications or associate degree often sufficient |
| Work Environment | Design, develop, and maintain video systems in studios or broadcast facilities | Operate and troubleshoot video equipment during live events or productions |
| Employer & Industry | Broadcast stations, media companies, corporate production teams | Event venues, broadcast companies, live production services |
Full Time Video Engineers focus on designing and maintaining video systems, while Video Technicians handle operational tasks and troubleshooting during productions. Both roles require technical skills, but engineers typically have more design responsibilities, whereas technicians focus on day-to-day equipment operation.

Job description
AI Engineer: Video Analytics
Location: Charlotte, NC
Employment Type: Full time
The VTrack Vision team builds GPU accelerated video analytics for real time safety monitoring across large fleets and industrial environments. Our 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 ML pipelines, and building real world safety applications that make an impact, you’ll fit right in.
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.
Requirements
- 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.
Nice to Have
- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms.
- Familiarity with Docker, cloud deployments, and production monitoring systems.
- Experience in temporal/sequence analysis for event detection.
- Background in video analytics for safety, compliance, or industrial/transportation environments.
Tech Stack
Python, OpenCV, PyTorch, Ultralytics YOLO, ONNX, TensorRT, CUDA, asyncio, aiohttp, gRPC, REST APIs, Azure Event Hub, Azure Blob Storage, Docker, Application Insights (or equivalent telemetry tools).
About Velocitor Solutions
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Charlotte, NC, US
Year founded
2000