Senior Hardware Architect (Datacenter)

Berkeley Square - Talent Specialists in IT & Engineering; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading recruitment firm in Barcelona is looking for a Senior Hardware Architect to deliver scalable, OCP-based datacenter solutions. You will work with various teams to develop next-gen rack-level platforms, guiding PCB design and collaborating on network topologies. The ideal candidate has over 8 years of experience in hardware architecture, solid knowledge of datacenter systems, and a degree in Engineering.

Formación

• 8+ years in hardware or systems architecture.
• Solid experience with OCP-based datacenter systems.
• Knowledge of datacenter power, cooling, and interconnects.

Responsabilidades

• Define rack-level architectures aligned with open hardware standards (OCP).
• Guide complex, high-speed PCB design.
• Collaborate on network and interconnect topologies.

Conocimientos

Hardware architecture

OCP-based datacenter systems

PCB design

Networking topologies

Fluent English (C1)

Educación

Degree in Engineering (Bachelor’s, Master’s or PhD)

Descripción del empleo

Senior Hardware Architect – Datacenter Platforms

Overview

My client is seeking an experienced hardware architect to help deliver scalable, OCP-based datacenter solutions. You'll work cross-functionally with design, system, and customer teams to develop next-gen rack-level hardware platforms.

Key Responsibilities

Define rack-level architectures aligned with open hardware standards (OCP) Guide complex, high-speed PCB design (power, thermal, mechanical) Collaborate on network and interconnect topologies (Ethernet, Infiniband, UALink) Support BoM sourcing, procurement, and design optimization Translate technical and customer requirements into platform-level solutions

Requirements

8+ years in hardware or systems architecture Solid experience with OCP-based datacenter systems Knowledge of datacenter power, cooling, and interconnects Familiarity with AI / ML infrastructure needs Fluent English (C1) Degree in Engineering (Bachelor’s, Master’s or PhD)