Linux Developer

Doghouse Recruitment; Amsterdam; A distancia; EUR 144.000 - 176.000; Jornada completa

Descripción de la vacante

A recruitment firm is seeking a Senior HPC Cluster Engineer to work remotely from anywhere in Europe. The role involves optimizing Linux systems for large GPU infrastructures and solving complex performance issues. The ideal candidate has solid knowledge of Linux internals and experience with C/C++ system-level code, along with scripting skills in languages like Go or Python.

Formación

• Solid Linux internals knowledge, ideally with kernel tuning or profiling experience.
• Experience reading/debugging C or C++ system-level code.
• Scripting or development skills in Go, Python, or similar.

Responsabilidades

• Profile and optimize Linux kernel subsystems for GPU clusters.
• Troubleshoot and resolve complex performance bottlenecks.
• Integrate and validate new GPU hardware.

Conocimientos

Linux internals knowledge

C/C++ debugging

Scripting in Go or Python

Experience in HPC or large-scale clusters

GPU or HPC cluster experience

InfiniBand knowledge

Descripción del empleo

Overview

Senior HPC Cluster Engineer – Linux Performance at Massive GPU Scale

Location: Remote from anywhere in Europe

Salary: tot 160k + 25% bonus

We operate one of the largest GPU infrastructures in the world — 30,000+ GPUs and 10 InfiniBand fabrics across five global data centers. Our infrastructure doubles in size every year. We’re looking for engineers who love getting deep into Linux systems, pushing hardware and software to their limits, and making the world’s fastest AI and HPC workloads run even faster.

Why this role is exciting

You’ll join a small, senior team that works between the hardware and Linux OS layers, solving performance problems that affect tens of thousands of GPUs. This is hands-on, high-impact engineering where microsecond gains matter and every optimization is felt at global scale.

Responsibilities

• Profile and optimize Linux kernel subsystems (CPU scheduling, memory management, networking stack) for GPU clusters and InfiniBand fabrics
• Troubleshoot and resolve complex performance bottlenecks
• Integrate and validate new GPU hardware (KVM/QEMU, PCIe devices, Kubernetes)
• Improve monitoring, alerting, and automation for large-scale, distributed systems
• Occasionally assist customers in optimizing workloads

Qualifications

• Solid Linux internals knowledge, ideally with kernel tuning or profiling experience (perf, ftrace, eBPF, sysprof, etc.)
• Experience reading/debugging C or C++ system‑level code
• Scripting or development skills in Go, Python, or similar
• A background in low-level, complex environments such as HPC, large-scale clusters, or high-performance networking
• GPU or HPC cluster experience
• InfiniBand or other high-performance interconnect knowledge

What we’re looking for

This is for you if you love solving deep technical challenges, care about performance down to the microsecond, and want to work on infrastructure that pushes the limits of what’s possible.