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GPU Systems Engineer

Full time (EOI) · Remote · Business hours with on-call rotation

About the Role

This is an Expression of Interest, not an active role.

We run GPU clusters on AMD Instinct and Nvidia HGX-class hardware. The systems engineering job is everything from firmware and ROCm or CUDA stacks down through fabric, optics, RDMA and storage, up to tenant-ready clusters.

If you have built or operated production GPU systems at meaningful scale, we want to know who you are.

Responsibilities

  • Bring up new GPU clusters: firmware, BIOS, driver stack, fabric configuration, validation.
  • Tune and troubleshoot RDMA, RoCE and NCCL or RCCL behavior at the cluster level.
  • Operate ROCm, CUDA and the supporting library stack across tenants.
  • Coordinate with platform, network and DC teams on capacity, reliability and hardware swaps.
  • Write the runbooks the next operator will rely on.

Required Skills and Experience

  • Hands-on experience with production GPU clusters, AMD Instinct or Nvidia HGX-class.
  • Strong Linux fundamentals, kernel and driver-level troubleshooting.
  • Understanding of RDMA fabric design, NCCL or RCCL tuning, and multi-node training performance.
  • Comfort with firmware updates, hardware diagnostics and vendor escalations.
  • Methodical. You isolate the variable rather than swap the part.

About OneQode

OneQode is a global provider of performance digital infrastructure. With a vertically-integrated platform that spans cloud compute, low-latency networking and sovereign technology across over 30 datacenters in 5 continents, they enable enterprises, governments and performance-hungry businesses to run AI & mission-critical workloads at scale, across the globe.

How to Apply

If this sounds like you, we'd love to hear from you.

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