# Partner Solutions Engineer at Ultralytics

AI Level 4, AI centrality 85 out of 100. Remote (London).

## Details

- Company: [Ultralytics](https://jobsbylevel.com/companies/ultralytics)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (London)
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/c5240423-51e0-439c-bc2a-f3842f04f1df

## Description

About Ultralytics: At Ultralytics , we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models . If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌍 Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. ⚡ Who we are At Ultralytics , we're on a mission to simplify AI for everyone . As the creators of the world's leading Ultralytics YOLO models , we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round , we're expanding rapidly across our global hubs. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. 💼 About the role As a Partner Solutions Engineer , you'll work side by side with our Head of Partnerships to help partners build, integrate, and deploy computer vision solutions with Ultralytics YOLO. You'll lead technical discovery, scope partner projects, and turn requirements into practical solution architectures, demos, and deployments. This is a hands-on, client-facing role with no people-management responsibilities. You'll collaborate with partners and internal engineering teams across model training, export, quantization, and cross-platform deployment. You'll thrive here if you combine deep technical curiosity with clear communication, sound judgment, and a bias for getting working solutions into users' hands. 🚀 What you'll do Partner solutions & delivery Lead partner-facing technical calls, discovery, and project scoping. Design solution architectures for YOLO training, integration, export, and deployment. Build technical demos and rapid prototypes using Python, OpenCV, PyTorch, and Docker. Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, and LiteRT. Help partners deploy across Linux, macOS, and Windows, and document clear implementation guidance. Technical collaboration Work side by side with the Head of Partnerships to advance partner integrations and unblock technical work. Review partner and community GitHub pull requests and share actionable feedback. Use OpenAI and Anthropic APIs to prototype client tools and accelerate partner workflows. Share partner needs and technical findings with Product and Engineering teams. Partner enablement Create technical documentation, demos, and integration guidance using the Ultralytics docs and guides . Represent Ultralytics in partner meetings, technical events, and occasional travel. 🧠 Skills and experience Core requirements Experience in computer vision and AI, with practical knowledge of Python, YOLO, OpenCV, and PyTorch. Experience training, exporting, and deploying models; familiarity with ONNX, TensorRT, OpenVINO, QNN, LiteRT, and INT8 quantization. Proven ability to lead partner-facing technical calls, scope work, and deliver demos or solution architectures. Experience reviewing GitHub pull requests and writing clear technical documentation. Comfortable working across Linux, macOS, and Windows, with Docker and common development workflows. Strong spoken and written English; able to travel for partner meetings and events. Resourceful, collaborative, and comfortable taking ownership in a high-performance startup. Nice to have Deep knowledge of vendor SDKs such as CUDA, ROCm, Vela, or Vitis AI. Experience with edge CPUs, GPUs, and NPUs, including Jetson, Raspberry Pi, Snapdragon, or Arm platforms. Linux, Docker, and CI experience on ARM64 and x86; mobile or web deployment on Android, iOS, or WebGPU. C++

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Source: https://jobsbylevel.com/jobs/partner-solutions-engineer-at-ultralytics-2d53bd

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