Senior Systems Software Engineer, GPU Compute
Job description
A Senior Software Systems Engineer role on the GPU & InfiniBand team, focused on developing and optimizing the core components of Nebius's hyperscaler cloud platform, especially GPU computing, InfiniBand networks and the KVM/QEMU stack.
At a glance
- Work mode
- Remote
What you'll do
- 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.
What we're looking for
- 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.
Your team
GPU & InfiniBand team
Responsible for enhancing and optimizing the core components of the Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack.
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
How to get hired
- 1Coding interviews
Apply
About Nebius
Leading a new era in cloud infrastructure for the global AI economy
Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Built by engineers, for engineers, the company owns hard problems across compute, storage, networking and applied AI, from large-scale GPU orchestration to inference optimization.
Mission
Building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Key facts
- 1,500+
- Amsterdam
- AI cloud infrastructure
- Listed on Nasdaq (NBIS)
- Headquartered in Amsterdam
- Global footprint with R&D hubs across Europe, the UK, North America and Israel
- Team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D
What they value
- Fast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI