Embedded Computer Vision Engineer
Ultralytics · Madrid, Madrid, ES
Applied AIonsitesenior
At a glance
Highlights
- Take YOLO models from research to production on real edge devices.
- Own technical integrations with leading silicon and hardware partners.
- Publish benchmarks and demos shaping the future of vision AI.
What they offer
- Cutting-edge YOLO computer vision technology work with global impact
- Brand-new MacBook, Apple Studio Display and AirPods Pro 3
- Dedicated budget for personal and professional growth
Ideal candidate
A hands-on builder obsessed with vision AI who thrives in fast, high-intensity environments and loves collaborating directly with partners to bring models to life on real devices.
Requirements
- Strong foundation in machine learning or computer vision, including how YOLO models work
- Strong Python skills and working experience with PyTorch and ONNX
- Hands-on experience with TensorRT, OpenVINO, ONNX Runtime, or a vendor NPU SDK
- Experience with INT8 quantization, calibration, and debugging accuracy loss after conversion
- Hands-on edge device experience with NVIDIA Jetson, Raspberry Pi, or NPU development boards
- remote policy
- in-office
Lab profile
About Ultralytics
Develops Ultralytics YOLO models for computer vision and AI innovation.
What they build
- Ultralytics YOLO
- YOLO AI models
Known for
- Computer vision
- YOLO model development
- Embedded vision
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