Remote Computer Vision Engineer: GPU Video Analytics

Dev PRO; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-first company

Multicultural collaboration

Hands-on GPU vision projects

Job summary

Dev.Pro, a US-based software development company, is seeking an AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring. You will design and optimize pipelines for high-volume streams, collaborating with engineering and product teams to deliver reliable, high-performance solutions.

You’ll work on a technically challenging computer vision project with emphasis on PyTorch, OpenCV, and real-time inference. The role is remote-first with international collaboration.

Qualifications

• 7+ years of software engineering experience with strong backend skills.
• 3+ years of experience shipping computer vision solutions to production.
• Strong Python proficiency and solid knowledge of CV frameworks.

Responsibilities

• Develop and optimize GPU-accelerated video inference pipelines for real-time processing.
• Implement, evaluate, and improve object detection models (YOLO or similar).
• Build temporal smoothing and tracking logic for safety event detection.
• Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools.
• Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.
• Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.
• Contribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed.
• Support containerized deployments (Docker) and assist with monitoring and scaling production workload.

Skills

Python

Backend development

Computer vision

Video analytics

English communication

Tools

OpenCV

PyTorch

TensorRT

CUDA

Docker

Azure Event Hub

Blob Storage

ONNX

Job description

Dev.Pro, a US-based software development company, is seeking an AI Engineer to build GPU-accelerated video analytics for real-time safety monitoring. You will design and optimize pipelines for high-volume streams, collaborating with engineering and product teams to deliver reliable, high-performance solutions.

You’ll work on a technically challenging computer vision project with emphasis on PyTorch, OpenCV, and real-time inference. The role is remote-first with international collaboration.