Senior HPC Systems Engineer - GPU & Bare-Metal Kubernetes

remotestar-team; Cambourne; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Relocation package

Private health insurance

Educational budget

Hybrid opportunity

Flexible working hours

High-paced cutting-edge tech

Job summary

Unknown company is seeking a senior systems engineer to design and build the control plane for bare-metal AI infrastructure. You will architect GPU scheduling across massive clusters, optimize networking for low latency, and extend Kubernetes with Operators and CRDs to expose hardware realities to data scientists.

Deep kernel and device driver work is required. You will debug complex issues from PCIe to NCCL timeouts, and define standards for drivers, firmware, and OS optimizations to maximize

Qualifications

• 10+ years of software engineering experience with Python.
• Deep Kubernetes knowledge: CRDs, Operators, API server architecture.
• Hands-on experience managing NVIDIA GPU clusters, drivers, CUDA, and NVIDIA Container Toolkit.
• Deep Linux kernel, cgroups, namespaces, and performance tuning.
• Terraform/Ansible for provisioning physical hardware.
• Experience debugging distributed systems across code, network, or silicon.

Responsibilities

• Build the Control Plane to automate bare-metal AI infrastructure lifecycles.
• Architect scheduling for large-scale GPU clusters with efficient bin-packing and gang scheduling.
• Tune the software-defined networking layer for low-latency interconnects (InfiniBand/RDMA).
• Develop Kubernetes Extensions via Operators and CRDs for hardware abstractions.
• Debug PCIe, NCCL timeouts, and kernel panics on bare-metal nodes.
• Define the Golden Image for AI workloads including drivers and firmware.

Skills

Python

Kubernetes

Linux Internals

GPU Clusters

Infrastructure as Code

Troubleshooting

Tools

NVIDIA Container Toolkit

Cluster API (CAPI)

Metal3

Tinkerbell

Canonical MaaS

OpenStack Ironic

Job description

Unknown company is seeking a senior systems engineer to design and build the control plane for bare-metal AI infrastructure. You will architect GPU scheduling across massive clusters, optimize networking for low latency, and extend Kubernetes with Operators and CRDs to expose hardware realities to data scientists.

Deep kernel and device driver work is required. You will debug complex issues from PCIe to NCCL timeouts, and define standards for drivers, firmware, and OS optimizations to maximize