Mechanical Engineer (AI Infrastructure)

Location: On-site in London, UK

Starting from £102,000 per year

Company

hirify.global develops the Decode Accelerator 1 (DX-1), a rack-scale compute platform designed to improve performance and efficiency for AI infrastructure through co-designed logic, data movement, packaging, optics, and interconnects.

What you will do

• Own mechanical architecture for chassis, enclosures, structural assemblies, cooling systems, and rack-integrated hardware from concept through production release and lifecycle support.
• Design solutions balancing thermal performance, mechanical robustness, serviceability, manufacturability, scalability, and cost.
• Create CAD models, engineering drawings, bills of materials, and technical documentation using GD&T and DFM/DFA/DFR/DFS principles.
• Drive airflow optimisation, liquid cooling integration, cold-plate design, and system-level heat rejection.
• Define interfaces between compute, networking, power, optical, and cooling subsystems, including rack-level structural, cable, airflow, and service-access design.
• Support analysis, prototype builds, qualification testing, production release, root-cause investigations, supplier coordination, and cross-functional design reviews.

Requirements

• Degree in Mechanical Engineering or a related discipline, with experience developing complex electromechanical products through production.
• Experience owning mechanical systems, chassis, or infrastructure across the full product lifecycle.
• Experience with dense electronics, optical subsystems, networking, or compute hardware with demanding thermal and power-density requirements.
• Strong knowledge of structural design, materials, tolerancing, manufacturability, thermal management, forced-air and liquid cooling, cold plates, thermal interface materials, and airflow optimisation.
• Strong 3D CAD experience with Creo, SolidWorks, NX, or equivalent, plus GD&T and ASME Y14.5.
• Experience with FEA/CFD, vibration and airflow analysis, manufacturing processes, NPI, prototype qualification, production ramp, suppliers, and contract manufacturers.

Nice to have

• Experience developing rack-scale or data-centre hardware platforms.
• Hands-on liquid cooling integration at scale, including cold plates, manifolds, and CDUs.
• Experience with AI/ML compute infrastructure, high-density accelerator systems, photonic or optical subsystems, configuration management, or PLM tools.

Culture & Benefits

• Meaningful stock options and ownership participation.
• Annual Living-Local Bonus for employees living within 20 minutes of the office.
• Employer-contributed retirement plans.
• Fast-moving, multidisciplinary engineering environment.