# Senior Systems Software Engineer, GPU Compute

**Company**: Nebius
**Location**: Amsterdam
**Experience**: senior
**Job type**: full-time
**Salary**: $170k-$300k
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4837283101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_98674573-e31

## Description

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.

Responsibilities:

- 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.

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).

Nice to 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.

## Skills

### Required
- Linux
- performance optimization
- low-level programming
- C/C++
- Go
- Python
- server architecture
- PCIe devices
- NICs
- Linux OS/Kernel
- high-performance computing (HPC) systems

### Nice to have
- GPU end-to-end testing
- InfiniBand networking
- RDMA
- RoCE
- InfiniBand protocols
- Software-Defined Networking (SDN)
- HPC cluster networking
- QEMU/KVM virtualization
- deep learning frameworks
- PyTorch
- TensorFlow
- MPI
- NCCL

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4837283101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)