Remote job · IT and software
Senior Solutions Architect, AI Infrastructure Networking
In one line: Senior Solutions Architect, AI Infrastructure Networking is a remote role in Poland at a Kubernetes-native AI infrastructure company.
- Remote (Poland)
- A Kubernetes-native AI infrastructure company
- Posted 8 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job 2tpy5qh2geAbout the role
Own the network design for a platform that builds and runs GPU clouds and AI factories, from hardware up to models. The work spans research, published reference architectures and hands-on validation with customers and partners.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, Poland
- Posted8 Oct 2026
- Last checked18 Oct 2026
What you will do
- Design and publish network reference architectures for GPU clusters ranging from one rack to thousands of GPUs
- Define compute fabrics on InfiniBand and RoCEv2 Ethernet, including rail-optimised and Clos topologies
- Specify front-end, storage and management networks and their links to customer data centers and clouds
- Set out multi-tenant isolation using InfiniBand partitions, VRFs, EVPN-VXLAN and Kubernetes network policy
- Design Kubernetes and KubeVirt networking for AI workloads, including CNIs, Multus and RDMA plugins
What they look for
- Deep networking expertise suited to large GPU cluster environments
- Ability to turn designs into working code, proofs of concept and reference architectures
- Comfort testing ideas on real hardware with customers and partners
- Willingness to research emerging technologies and standards ahead of demand
- Ability to explain complex designs to engineers, executives and conference audiences
- Experience collaborating across countries and time zones
Questions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote for people in Poland.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: deep networking expertise suited to large GPU cluster environments; ability to turn designs into working code, proofs of concept and reference architectures; comfort testing ideas on real hardware with customers and partners.
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