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.

What you’ll do

• 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

We’d love to hear from you if you have

• 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

Bonus points for

• GPU or HPC cluster experience
• InfiniBand or other high-performance interconnect knowledge
• Virtualization stacks (KVM/QEMU), Slurm, Kubernetes

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.