Senior AI Hardware Integration Engineer (YOLO)

Location: Madrid, Spain; hybrid and on-site collaboration required. Applicants must have legal authorization to work in the country of application.

Company

hirify.global develops open-source YOLO AI models and computer vision tools used by developers, researchers, and companies worldwide.

What you will do

• Build and maintain model export, inference, and on-device integrations across Python, PyTorch, vendor SDKs, and deployment runtimes.
• Set up embedded boards and development kits, optimize models for latency, memory, and accuracy, and validate deployments on real hardware.
• Debug conversion and INT8 quantization accuracy issues and benchmark YOLO models across hardware platforms.
• Own technical integrations with AMD, Google, NVIDIA, and other silicon and hardware partners.
• Maintain hardware CI, deployment Docker images, integration guides, benchmark documentation, and developer demos.
• Support developers, customers, partner teams, and internal ML engineers with deployment issues.

Requirements

• Strong foundation in machine learning or computer vision, including YOLO models.
• Strong Python skills and experience with PyTorch and ONNX.
• Hands-on experience with TensorRT, OpenVINO, ONNX Runtime, or a vendor NPU SDK.
• Experience with INT8 quantization, calibration, embedded hardware, and constrained-device deployments.
• Comfort with Linux, Docker, Git, dependency management, code review, and clean software engineering practices.
• Senior-level experience owning technical integrations end to end and legal authorization to work in the country of application. Clear written English is required.

Nice to have

• Experience working with silicon vendors, hardware partners, or multiple embedded ecosystems.
• C++ experience, including model deployment on microcontrollers.
• Experience running CI on self-hosted hardware runners.
• Open-source contributions, developer ecosystem experience, or willingness to travel to industry events.

Culture & Benefits

• Fast-paced environment focused on ownership, speed, precision, teamwork, and measurable impact.
• On-site collaboration with teams working on computer vision AI technology.
• Flexible working hours and 24 vacation days, plus a birthday day off and local holidays.
• Competitive salary, equity packages, learning and development budget, and modern Apple equipment.
• Work on YOLO-based AI models powering computer vision applications across industries.