The organization
Our client operates one of the largest GPU infrastructures in the world — 100,000+ GPUs and 10+ InfiniBand fabrics across five global data centers. Their 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
The role
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.
The HPC cluster engineering team is responsible for enhancing and optimizing the core components of the Cloud platform, with a specific focus on High-Performance Computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments.
The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.
What you’ll do
In this position, you will be responsible for:
Tuning the performanceof clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
Analyzing and troubleshootingthe root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.
Your profile
We expect you to have:
5+ years of professional experience in system-levelsoftware development (focused on performance optimization, low-level programming).
3+ years of hands-on experience withLinux systems (administration, troubleshooting, and/or performance tuning).
Experience with relevant "tools of the trade" for kernel profiling & tuning: perf,ftrace, (e)BPF etc.
In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel etc.
Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). This includes an excellent grasp of data structures & algorithms.
It would be a plus (but not key....) if you have:
Experience with GPU end-to-end testing in a cluster environment usingInfiniBand networking.
Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).
Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.
Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.
Understanding of QEMU/KVM virtualization and managing virtualized environments.
Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.
Familiarity with collective communication libraries like MPI and NCCL for distributed computing.
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.
Get enthusiastic about the prospect of joining a massively scaling organization, and the chances this offer to take ownership and end-to-end responsibility.
What's offered
Salary: up to 200k OTE (base + 25% bonus)
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.
Location: Amsterdam or remote from anywhere in Europe.
Originally posted on