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

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 globalscale.

• Profile and optimize Linux kernel subsystems (CPU scheduling, memorymanagement, 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

• 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
• Virtualization stacks (KVM/QEMU), Slurm, Kubernetes

Love solving deep technical challenges, care about performance downto the microsecond, and want to work on infrastructure that pushes the limits of what’s possible

Location: Remote from anywhere in Europe
Salary: up to 160k + 25% bonus