Own networking across the managed Kubernetes platform, from cluster networking to data center fabric and GPU interconnect.
Automate tenant and node network lifecycles with Kubernetes-native tooling, including BGP, VLANs, overlays, and GPU networking.
Drive network telemetry, incident response, and security policy through GitOps and segmentation standards.
A late-stage AI cloud company backed by NVIDIA with a multi-billion-dollar valuation, running AI compute out of data centers worldwide. It is building a managed Kubernetes platform that turns fleets of bare-metal GPU compute into dedicated, isolated clusters for AI training and inference.
Design, deploy, and maintain InfiniBand and RoCE network fabrics for GPU training and inference.
Manage data center switching, routing, and customer connectivity solutions.
Drive automation, capacity planning, and incident resolution across high-performance networks.
The hiring company builds and operates high-performance networks for GPU computing and AI workloads. Its infrastructure team focuses on scalability, reliability, and cutting-edge networking technologies.
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.
Lead technical bring-up of large-scale GPU clusters from physical installation to validated production readiness.
Execute NVIDIA diagnostics, NCCL performance tests, and acceptance criteria for commercial service.
Serve as Tier 3 escalation point for complex production incidents and drive root cause analysis.
Highrise AI is a GPU-native infrastructure platform providing scalable compute for AI workloads across dedicated clusters and managed cloud. As a subsidiary of Hut 8 Corp, it combines disciplined operations, automation, and on-site engineering to sustain high uptime and predictable performance.
Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
Configure and troubleshoot bare metal GPU infrastructure including CNI, GPU Operator, and storage.
Build playbooks and transfer knowledge to customer teams for self-sufficiency.
vCluster Labs provides a platform for AI infrastructure, helping GPU cloud providers and enterprises build Kubernetes-based clusters. They are a venture-backed startup with 40+ engineers and a remote-first culture, powering over 100,000 GPUs.
Lead deployment and integration of ITVA across complex enterprise customer environments, including cloud, on-premises, and air-gapped infrastructure.
Implement AI-powered network operations, troubleshooting, visibility, and automation workflows.
Collaborate with ITVA's software engineers to translate customer challenges into product requirements.
ITVA builds an AI-native platform that combines network visibility, automation, troubleshooting, cybersecurity, and IT operations. ITVA is an engineering-driven company deploying into complex enterprise environments, focused on real-world impact.
Execute GPU node and cluster bring-up, validation, and automated testing across new hardware platforms.
Troubleshoot GPU and OS hardware/software issues, maintaining drivers, firmware, and system software.
Automate infrastructure with Python, Bash, and Ansible while monitoring cluster health and documenting processes.
Vultr provides high-performance cloud compute, GPU, bare metal, and storage solutions across 33 global data centers. It is a privately-held, employee-focused cloud infrastructure company valued at $3.5 billion with hundreds of thousands of customers.