Our client operates one of the largest GPU infrastructures in the world 30000 GPUs and 10InfiniBand fabrics across five global data centers. Our infrastructure doubles in size everyyear. Were looking for engineers who love getting deep into Linux systems pushinghardware and software to their limits and making the worlds fastest AI and HPC workloadsrun even faster
Youll 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
Wed 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 clustersor high-performance networking
Bonus points for:
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 whats possible.
Salary: up to 160k 25% bonus (200k OTE).
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.
Location: Amsterdam or remote.
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