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# Senior Systems HPC Engineer

- **Company:** Nebius
- **Location:** Amsterdam, Netherlands (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Clusters, System Configuration, Linux, Network Interface Controllers, InfiniBand, Python (Programming Language), Kernel-Based Virtual Machine, PCI Express, Performance Tuning, Quick EMUlator (QEMU), Software Engineering, System Programming, System Software, Golang, Programming Languages
- **Published:** July 15, 2026
- **Apply:** https://www.adzuna.nl/details/5710721816

## About the Role

* 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
 * 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).
 * In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
 * Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python)., Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

## Description

We are looking for a Senior Systems HPC Engineer to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.

You will operate across the full stack-from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL).

In this role you will

 * Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
 * Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
 * Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
 * Support complex performance-related escalations from internal teams and customers
 * Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
 * Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations


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