Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
Publish reference architectures and run proofs of concept on real hardware with customers.
Research emerging AI networking technologies and help shape the product roadmap.
Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.
Architect GPU cluster topologies spanning compute, networking, storage, and control planes.
Model AI workloads like LLM training and inference to guide performance tradeoffs.
Collaborate with cross-functional teams to deploy and scale reliable AI infrastructure.
This role is with a partner company focused on designing next-generation AI infrastructure at massive scale. The company fosters a fast-moving, engineering-led culture with a collaborative, international team.
Lead the architecture and delivery of a large-scale GPU infrastructure platform, evolving from managed Kubernetes to bare-metal with Slurm and inference support.
Manage a distributed engineering team across backend, frontend, DevOps, QA, and documentation, setting technical standards and overseeing implementation.
Own GPU infrastructure operations, including Slurm, Kubernetes, NVIDIA hardware, observability, and incident response, while acting as the primary technical interface with partners.
Jobgether is an AI-powered job matching platform that connects candidates with relevant roles, ensuring a fair and objective review process. It operates with a distributed team and partners with companies globally, focusing on efficient and transparent recruitment.