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Opencv Pytorch Jobs (NOW HIRING)

Berkshire Grey

Fall 2026 Software Co-op

Bedford, MA · On-site

$28 - $45/hr

Experience with computer vision or machine learning libraries (e.g., OpenCV, PyTorch) * Solid understanding of object-oriented design, data structures, and algorithms * Strong analytical, debugging ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118.20K - $139.40K/yr

... opencv, pytorch, etc). • Proven understanding of data structures, algorithms, concurrency, and code optimization. • 4+ years of professional industry experience working with C++ or Rust ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110.40K - $130.20K/yr

Demonstrable expertise with vision and machine learning libraries such as OpenCV, PyTorch, or TensorFlow. * Experience integrating vision systems with robotic frameworks (e.g., ROS, MoveIt, or custom ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA

$143.80K - $189.50K/yr

OpenCV, PyTorch / TensorFlow, ITK / VTK * Strong verbal and written communication skills * High levels of independence and technical ownership Preferred Skills and Experience * Proficiency in GPU ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Fluency in standard domain libraries (numpy, opencv, pytorch, etc). * Proven understanding of data structures, algorithms, concurrency, and code optimization. * 4+ years of professional industry ...

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Opencv Pytorch information

What is the difference between Opencv Pytorch vs Computer Vision Engineer?

AspectOpencv PytorchComputer Vision Engineer
Required SkillsProficiency in OpenCV and PyTorch, programming in Python/C++, image processingKnowledge of computer vision algorithms, machine learning, programming in Python/C++, OpenCV, PyTorch
Work EnvironmentResearch labs, AI development teams, software companiesTech companies, research institutions, startups focusing on AI and image analysis
Industry UsageDeveloping computer vision applications, image/video processingDesigning and implementing computer vision solutions, product development

Opencv Pytorch professionals focus on utilizing OpenCV and PyTorch libraries to develop computer vision applications, often working in research or development teams. Computer Vision Engineers apply these tools to create practical solutions, combining algorithm development with software engineering. While both roles require similar skills, the former emphasizes library expertise, and the latter emphasizes application deployment.

Infographic showing various Opencv Pytorch job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 22% Physical, 1% Hybrid, and 77% Remote job distribution.
AI Engineer- Video Analytics

AI Engineer- Video Analytics

VELOCITOR SOLUTIONS

Charlotte, NC

Full-time

Posted 17 days ago

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).

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