Hardware / Senior Hardware Engineer

Ultralytics; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading AI firm in Madrid is seeking a Computer Vision Engineer to develop cutting-edge YOLO models. This full-time role involves driving the entire lifecycle of AI models, optimizing them for performance, and working in a hybrid environment. The ideal candidate should excel in Python, PyTorch, and OpenCV, with a strong background in object detection. Benefits include generous vacation days and flexible hours, offering a high-performance workplace for those committed to excellence.

Servicios

24 days vacation

Birthday off

Brand-new Apple MacBook

Flexible working hours

Formación

• Expert-level proficiency in Python and deep expertise with PyTorch.
• Strong practical experience with OpenCV for image and video processing tasks.
• Proven experience in training and deploying object detection models.

Responsabilidades

• Drive the entire lifecycle of AI models from research to deployment.
• Develop, train, and optimize state-of-the-art computer vision models.
• Work on model deployment strategies for high-performance inference.

Conocimientos

Python

PyTorch

OpenCV

MLOps practices

Herramientas

Git

Docker

TensorRT

OpenVINO

Descripción del empleo

At Ultralytics

We relentlessly drive innovation in AI, building the world's leading YOLO models.

We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high‑energy environment. This full‑time Computer Vision Engineer position is based onsite in our Ultralytics office in Madrid, Spain. Applicants must have legal authorization to work in Spain, as Ultralytics does not provide visa sponsorship.

As a Computer Vision Engineer at Ultralytics

You will be at the forefront of developing and refining our world‑class, open‑source AI models.

Responsibilities

• Drive the entire lifecycle of our models, from research to real‑world deployment.
• Develop, train, and optimize state‑of‑the‑art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem.
• Implement advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets.
• Lead the full lifecycle of model development, from research and training to validation and performance benchmarking.
• Work on model deployment strategies, including optimizing models for high‑performance inference on both cloud and edge devices.
• Contribute to our CI / CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing.

Qualifications

• Expert‑level proficiency in Python and deep expertise with PyTorch.
• Strong practical experience with OpenCV for image and video processing tasks.
• Proven experience in training, fine‑tuning, and deploying object detection models, particularly within the YOLO family.
• Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO.
• Experience with MLOps tools and practices, including version control (Git), Docker, and CI / CD with GitHub Actions.
• A strong portfolio of projects or contributions to open‑source AI repositories.

Cultural Fit – Intensity Required

Ultralytics is a high‑performance environment for world‑class talent obsessed with achieving extraordinary results.

Hybrid Flexibility

3 days per week in our brand‑new office – 2 days remote.

Generous Time Off

24 days vacation, your birthday off, plus local holidays.

Flexible Hours

Tailor your working hours to suit your productivity.

Tech

Engage with cutting‑edge AI projects and our Ultralytics HUB.

Gear

Brand‑new Apple MacBook and Apple Display provided.