Teams at Ultralytics

The Founding Engineer will establish Ultralytics’ New York engineering team and own AI/computer vision features end to end. Responsibilities include architecture, coding, testing, deployment, production operations, full-stack interfaces, backend services, infrastructure, model serving, and reliability. The role leads technical reviews, mentors and unblocks engineers, coordinates asynchronously across international teams, contributes to open source, and uses AI-assisted development tools. Strong practical experience with Python, PyTorch, ML/computer vision, full-stack systems, cloud infrastructure, and production delivery is required.

Deploy and optimize YOLO computer vision models on embedded and edge hardware. Build export and inference integrations across runtimes, SDKs, CPUs, GPUs, NPUs, and SoCs; debug conversion and INT8 quantization accuracy issues; benchmark deployments; maintain hardware CI and Docker images; and manage technical integrations with silicon and hardware partners. The role also includes documentation, developer support, partner coordination, and industry demonstrations.

Design and deliver computer vision solutions using Ultralytics YOLO, including model training, export, quantization, integration, and deployment. Lead partner-facing technical discovery, scope projects, build demos and prototypes, review GitHub contributions, and create technical documentation. Collaborate with partnerships, product, and engineering teams while supporting deployments across platforms and representing Ultralytics in meetings and events.