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Ultralytics

Develops real-time computer vision AI models

Partner Solutions Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience in computer vision and artificial intelligence, 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.
  • 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.
  • Comfort working across Linux, macOS, and Windows, with Docker and common development workflows.
  • Strong spoken and written English; ability to travel for partner meetings and events.

Responsibilities

  • 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 implementation guidance.
  • Work 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.
  • Create technical documentation, demos, and integration guidance using Ultralytics documentation and guides.
  • Represent Ultralytics in partner meetings and technical events, with occasional travel.

Desired Qualifications

  • 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 continuous integration experience on ARM64 and x86; mobile or web deployment on Android, iOS, or WebGPU.
  • C++ skills, performance profiling, or experience optimizing PyTorch and OpenCV.
  • Familiarity with cloud machine learning platforms such as SageMaker, Vertex AI, or Azure ML, and video pipelines such as DeepStream or Triton.
  • Experience creating talks, blogs, or demo videos; additional Spanish, Italian, or Mandarin language skills.

About the Company

Ultralytics

Develops real-time computer vision AI models

Ultralytics builds computer vision AI tools for creating, training, and deploying models. Its HUB platform is a no-code web and mobile tool where users drag and drop datasets, train in the cloud, collaborate with teams, and export models with an inference API. Ultralytics YOLO offers fast real-time object detection, segmentation, classification, and tracking for deployment on edge devices and cloud. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, paid HUB plans, and managed data labeling, aiming to make AI accessible and scalable for individuals and businesses.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
London, United Kingdom
Founded
2014

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