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 bring up networks in large-scale GPU clusters, including compute fabric, storage, front-end, and out-of-band management.
Own cabling plans, optics BOMs, and labeling standards; lead fabric bring-up, validation, and troubleshooting.
Build automation templates and tooling so each cluster starts from a known-good baseline.
Andromeda is a market and infrastructure platform to buy, sell, and operate compute for AI, enabling fragmented compute to flow through one platform. The company has a high talent density, high trust team and offers comprehensive benefits.
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.
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.
Take our first colocation site from empty cage to production workloads and scale it to thousands of hosts.
Automate the server lifecycle: netboot, imaging, BMC-driven discovery, host identity, firmware rollout, and RMA.
Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance.
We're building a modern cloud platform for developers creating AI-native, multi-service applications. Trusted by over 7 million developers, we've raised $260M in total funding and value craft, velocity, and user experience.
Run and grow low-latency networking across colocation sites, including switching, routing, and BGP peering with liquidity providers and clients.
Bring new data centre sites to application-ready starting with Tokyo, and support hybrid connectivity into multi-region AWS.
Automate Linux hosts and containers with Ansible, Git, and Terraform, and build monitoring, capacity planning, and runbooks.
Reactive Markets builds high-performance trading systems for OTC markets, handling over $75 billion in daily volumes across FX, equities, and cryptocurrency. Its small, senior engineering team focuses on reliable, low-latency infrastructure and connecting 50+ leading liquidity providers.
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.