Head of AI Infrastructure Systems & Hardware Engineering

Axelera AI

Amsterdam

Remote

EUR 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Pension plan
Employee insurances
Stock options

Job summary

Axelera AI is seeking an entrepreneurial engineering leader to establish and run the AI Infrastructure Systems division. You will build the team, shape the roadmap, and own end-to-end delivery of board- and system-level products for PCIe/CXL accelerator cards and rack-scale systems.

You will review schematics, manage budgets, and partner with multiple R&D and GTM teams to deliver enterprise AI and HPC solutions, including high-power thermal/ mechanical design and secure firmware stacks.

Qualifications

  • 15+ years in hardware engineering for complex electronics.
  • Proven track record shipping datacenter/server-class compute hardware.
  • Deep expertise in high-speed interfaces and power delivery.
  • Experience with BMC-based management and firmware stacks.

Responsibilities

  • Build the Infrastructure Systems engineering team from the ground up.
  • Define the technical roadmap for board- and system-level server products.
  • Serve as the technical authority across system implementation.
  • Own end-to-end execution from concept through design reviews and mass-production readiness.
  • Drive datacenter-grade platform engineering and platform firmware resilience.
  • Lead the thermal and mechanical strategy for high-power platforms.
  • Partner with AIS to align board and system-level execution across product lines.
  • Collaborate with Platform Architecture, product management, silicon, SDK and software teams to refine requirements.
  • Engage directly with strategic customers and ecosystem partners to shape requirements.
  • Define and enforce engineering processes and quality gates for the new division.

Skills

Leadership
Hardware engineering
High-speed interfaces
BMC/firmware
Project management

Tools

PCB design
Power/thermal design
Redfish/IPMI

Job description

Axelera AI is seeking an entrepreneurial engineering leader to establish and run the AI Infrastructure Systems division. You will build the team, shape the roadmap, and own end-to-end delivery of board- and system-level products for PCIe/CXL accelerator cards and rack-scale systems.

You will review schematics, manage budgets, and partner with multiple R&D and GTM teams to deliver enterprise AI and HPC solutions, including high-power thermal/ mechanical design and secure firmware stacks.

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