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.
Design and build data center network fabrics for large GPU clusters.
Automate network provisioning, configuration, and change management in code.
Own BGP, VLANs, VRFs, EVPN/VXLAN, and tune GPU networking.
A late-stage AI cloud company backed by NVIDIA with a valuation in the billions, running AI compute from data centers globally. They build dedicated, isolated GPU clusters for customers and maintain a fast-paced, engineering-driven culture.
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.
Design and own reference architectures for large-scale NVIDIA GPU clusters.
Turn customer workloads and site constraints into complete cluster designs.
Act as technical authority across compute, fabric, storage, power, and cooling.
Andromeda is a market and infrastructure platform for buying, selling, and operating compute. It is a high-trust, high-talent-density team shaping the AI infrastructure market with comprehensive benefits and an inclusive culture.
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.
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.
Run cluster builds on site from hardware delivery to ready-for-service.
Direct integrators and contractors daily against the build plan.
Hand over validated clusters to operations with documentation and runbooks.
Andromeda is a market and infrastructure platform for buying, selling, and operating compute, enabling fragmented GPU capacity to flow through one platform. They are a high-talent-density team with comprehensive benefits, shaping the AI infrastructure market.
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.
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.