Description:

Join Dev.Pro as a Computer Vision Engineer focusing on GPU-accelerated video analytics for real-time safety monitoring.
Collaborate with engineering and product teams to design and optimize pipelines for detecting and tracking safety events in high-volume video streams.

Requirements:

7+ years of software engineering experience with strong backend skills.
3+ years of experience shipping computer vision solutions 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.
Knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation.
Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning).
Upper-Intermediate+ English level and ability to communicate effectively with teams.

Collaborate with top engineers on innovative computer vision projects.
Gain hands-on experience with impactful systems enhancing safety across large fleets and industrial operations.

Skills