Senior Architect (Remote)

About Us Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.

In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.

We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.

We are looking for a Senior Platform Architect to own the platform-level architecture of our scale-up and scale-out systems as we grow from single-accelerator products to server- and rack-level deployments.

The role is in close collaboration with the AI Infrastructure Systems division that builds our board- and system-level products, as well as with the broader architecture teams, and the silicon and software divisions. Finally, you will engage directly with strategic customers and ecosystem partners on architecture requirements and technical alignment.

Define the platform-level architecture of scale-up and scale-out fabrics across our accelerator product line, from single-node systems through to rack level deployments.

Help translate workload and performance requirements into concrete system-level architecture and interconnect specifications.

Take a leading technical role in the system architecture team, interfacing directly with key partners and internal stakeholders to align architecture decisions, including the AI Infrastructure Systems division, silicon, product management, software, and customers, system integrators and ecosystem partners on architecture requirements — with commercial engagement and design-in ownership sitting with the AIIS Director.

Experience: Significant experience (5+ years) in system, platform, or hardware architecture, with a strong track record at server and/or rack scale.

Scale-up and scale-out system design, distributed workload mapping, functional partitioning, and interconnect/fabric architecture.

Ability to connect workload characteristics to hardware architecture and to quantify the impact of design choices on end-to-end performance.

Demonstrated ability to lead and collaborate across multidisciplinary teams and to interface effectively with partners and senior stakeholders.

Bonus: Experience architecting AI/HPC accelerator systems, familiarity with distributed training/inference workloads, and exposure to data-center-scale deployment.

We offer a flexible working arrangement, with options to:

Work fully remotely from any European country (incl.