Member of Technical Staff - Platform

ai& is a new global AI technology company dedicated to meeting the world's growing demand for AI. Our vision is twofold: to serve as a premier AI lab specializing in localization, and to act as a global infrastructure and compute provider. We are building a unified, optimized global platform that integrates next-generation data centers and infrastructure, heterogeneous compute serving, and advanced model services. We believe that the most effective way to build and scale AI is to own the stack from top to bottom.

At ai&, we empower small teams with the autonomy needed to tackle significant challenges. Our approach is to deconstruct large problems into manageable components and solve complex issues collaboratively. We seek highly motivated, mission-driven individuals who demonstrate strong personal agency. We value curiosity as the foundation of talent, and we are looking for people eager to develop alongside our evolving technology and expanding business.

We are actively hiring worldwide, with presence in Tokyo, SF, Austin, and Toronto. We are more than happy to meet exceptional talent where they are.

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• Production Kubernetes at scale You have operated large multi-cluster Kubernetes environments, ideally with GPU scheduling, device plugins, and topology-aware placement.

• Systems depth Strong Linux fundamentals. You can reason about NUMA, PCIe, NICs, and storage, and you debug from symptoms to root cause without guessing.

• Networking fundamentals You understand L2/L3, and ideally RDMA fabrics (InfiniBand or RoCE) in production.

• Infrastructure as code Terraform or equivalent, GitOps workflows, and the discipline to keep the fleet reproducible.

• Ownership under load You have carried a pager for systems that matter and you build so the pager stays quiet.

• Relevant tooling Go or Python, Prometheus-family observability, and comfort automating anything you do twice.

• Great team spirit A mission-driven approach to engineering, valuing clear communication, hands-on execution, and collective success over individual silos.