3 days ago
Remote, Peru +7 moreSenior
Responsibilities
- Develop and optimize GPU-accelerated video inference pipelines for real-time processing.
- Implement, evaluate, and improve YOLO or similar object detection models.
- Build temporal smoothing and tracking logic for safety event detection.
- Optimize model performance using TensorRT, ONNX, CUDA, GPU profiling, batching, stride, quantization, and throughput tuning.
- Build and maintain integrations with event-driven APIs, Azure Event Hub, Azure Blob Storage, and internal services.
- Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.
- Contribute to dataset curation, labeling, model evaluation, and fine-tuning or training as needed.
- Support Docker-based deployments and assist with monitoring and scaling production workloads.
- Collaborate with engineering and product teams to deliver reliable, high-performance solutions.
Requirements
- 7+ years of software engineering experience with strong backend skills.
- 3+ years of experience shipping computer vision solutions to production.
- Strong Python proficiency.
- Experience with OpenCV, PyTorch, asynchronous I/O frameworks, and API integrations.
- Hands-on experience with YOLO, Ultralytics, or similar object detection frameworks.
- Experience detecting, labeling, and tracking objects in video.
- Knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation.
- Experience with GPU inference optimization, including batching, stride, TensorRT, CUDA, quantization, and throughput tuning.
- Experience with production video analytics, temporal or sequence analysis, or safety, compliance, industrial, or transportation environments is desirable.
- Experience with Azure Event Hub, Blob Storage, Application Insights, Docker, cloud deployments, and production monitoring systems is desirable.
- Upper-Intermediate or higher English proficiency and effective communication and collaboration skills.
Benefits
- Remote-first work arrangement.
- Independent contractor engagement with collaboration across more than 55 countries.
- Opportunity to work with top engineers on a technically challenging computer vision project.
- Hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring.
- Recruiter introduction call, interview, and contract-signing process.
Categories
About Dev.Pro
Dev.Pro is a privately held software engineering services firm that builds and supports custom applications for technology-driven companies and enterprises. Founded in 2011 and headquartered in Charlotte, North Carolina, it operates as a remote-first organization delivering web, mobile, and cloud solutions, plus DevOps and UI/UX. Engagements range from dedicated teams to project-based work across stacks such as JavaScript, .NET, Java, and C++.