Senior Embedded CV Engineer — Edge AI (Madrid)

Ultralytics; Madrid; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equity packages

On-site collaboration

Flexible working hours

Generous vacation time

Tech & tools

Job summary

Ultralytics is seeking an Embedded Computer Vision Engineer to take YOLO models from PyTorch to production on edge hardware. You will own export and inference integrations across CPU, GPU, NPU, and SoC platforms, working with silicon partners and vendor SDKs.

This senior role requires hands-on experience with edge devices like NVIDIA Jetson or Raspberry Pi, plus strong ML fundamentals and excellent communication with internal and external teams.

Qualifications

• Proven strong foundation in ML/vision and YOLO fundamentals.
• Proficiency with Python, PyTorch and ONNX workflows.
• Hands-on experience with edge hardware and deployment.
• Experience with quantization and accuracy debugging.

Responsibilities

• Build and maintain export and inference integrations for on-device deployment.
• Collaborate across partner silicon and vendor SDKs.
• Optimize latency, memory, and accuracy on target hardware.
• Document integration guides and runbooks.

Skills

Python

PyTorch

ONNX

YOLO

Edge devices

Linux

Docker

Code reviews

English documentation

Integrations

Senior ownership

Tools

TensorRT

OpenVINO

ONNX Runtime

NPU SDK

Jetson

Raspberry Pi

Job description

Ultralytics is seeking an Embedded Computer Vision Engineer to take YOLO models from PyTorch to production on edge hardware. You will own export and inference integrations across CPU, GPU, NPU, and SoC platforms, working with silicon partners and vendor SDKs.

This senior role requires hands-on experience with edge devices like NVIDIA Jetson or Raspberry Pi, plus strong ML fundamentals and excellent communication with internal and external teams.