About the role
We are looking for a Lead Software Systems Engineer - GPU Performance 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). You will investigate and fix
Requirements
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).
About the company
Nebius
Nebius is an AI cloud provider specializing in building and scaling AI solutions from silicon to API. They offer custom hardware with non-virtualized GPUs and InfiniBand, MLOps tooling, and flexible consumption options for various workloads, from training to inference. Their value proposition is faster time to AI value with raw power and elasticity, supported by expert services.
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