Senior Systems Software Engineer

Nebius B.V.; Deutschland; Remote; EUR 146.000 - 258.000; Vollzeit

Zusammenfassung

Nebius B.V. is seeking a Senior Software Systems Engineer to advance our hyperscaler platform, focusing on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You will work with hardware virtualization and device emulation to push performance and security in multi-GPU HPC environments.

Responsibilities include tuning, troubleshooting, and integrating new hardware, plus expanding automated fault detection and resolution within a complex system.

Qualifikationen

• 5+ years in system-level software development focusing on performance.
• 3+ years Linux administration, troubleshooting and performance tuning.
• Deep understanding of PCIe devices, NICs, Linux kernel, and HPC systems.
• Strong proficiency in C/C++, Go, or Python.

Aufgaben

• Tune GPU clusters and InfiniBand networks for HPC and GPU-based environments.
• Analyze and troubleshoot root causes, proposing corrective actions.
• Integrate new hardware including GPU support via Kubernetes, QEMU, and KVM.
• Enhance automation for proactive monitoring, detecting, and resolving issues.
• Configure and manage GPU devices and InfiniBand fabrics for reliability.

Kenntnisse

System-level development

Linux systems

Performance optimization

C/C++

Go

Python

Tools

KVM/QEMU

Kubernetes

Jobbeschreibung

We’re looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU 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.

In this position, you will be responsible for:

• Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
• Analyzing and troubleshooting the 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.

We expect you to have:

• 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).

It would be a plus if you have:

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand 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.

We offer competitive salaries ranging from $170k-$300k + equity based on your experience.

We conduct coding interviews as part of the process.