Senior Software Engineer - GPU Infrastructure

Senior Software Engineer — GPU Infrastructure

They are a venture-backed infrastructure company building the platform layer for GPU compute. Their product gives AI teams — from startups to enterprises — a single API to deploy and manage GPU capacity across clouds, neoclouds, and bare-metal data centers. Think of them as the connective tissue that turns fragmented GPU supply into reliable, production-grade infrastructure.

We're hiring a Senior Software Engineer to own the core systems that make this work.

What you'll do

• Build and maintain the platform that provisions, orchestrates, and virtualizes GPU infrastructure at scale
• Design automated AI infrastructure services across multi-cloud environments
• Own the systems that turn raw, fragmented GPU capacity into a consistent, production-ready platform customers depend on
• Work on novel problems at the intersection of cloud infrastructure and the GPU market — provisioning, fleet management, secure networking, and virtualization
• Get hands-on with bleeding-edge GPU hardware and the latest AI dev tooling

What we're looking for

• Strong experience with virtualization technologies — KubeVirt, OpenStack, KVM, or equivalent
• Deep Kubernetes expertise, including building custom resources and managing controllers
• Hands-on with GPU-specific orchestration, testing, and fleet management
• Secure networking chops — VPNs, VPCs, and multi-tenant isolation
• Linux depth, particularly around PCIe passthrough and driver management
• Comfortable working in Go — though we value being language-agnostic over any single stack
• Experience operating across AWS, GCP, and/or bare-metal infrastructure

Details

• Remote — US Based Individuals
• Early-stage, well-funded team solving one of the hardest infrastructure problems in AI

Interested? Drop a DM or apply below. Happy to share more about the company, team, and what they are building!