Senior Systems Software Engineer, GPU Compute

Nebius; United States; On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Flexible and ownership culture

Opportunity to work on impactful AI

Job summary

Nebius is seeking a Senior Software Systems Engineer to advance our hyperscaler platform. You will work on GPU computing, InfiniBand networks, and the KVM/QEMU stack, improving performance and security in multi‑GPU HPC environments.

Role involves analyzing, troubleshooting, and automating fault detection within a complex system, with a focus on hardware virtualization and device emulation. Collaboration with hardware teams is essential.

Qualifications

• 5+ years of professional experience in system‑level software development with focus on performance optimization.
• 3+ years of hands‑on Linux system administration and tuning.
• Deep understanding of server architecture, PCIe devices, NICs, Linux OS/Kernel and HPC systems.
• Proficiency in C/C++, Go or Python for performance‑oriented programming.
• Experience with GPU/InfiniBand in clusters and virtualization stacks (KVM/QEMU).

Responsibilities

• Tune GPU clusters and InfiniBand networks for high‑performance operation in HPC environments.
• Analyze and troubleshoot GPU/InfiniBand issues, propose corrective actions.
• Integrate new hardware into existing infra, including GPU support via Kubernetes, QEMU and KVM.
• Enhance automation for monitoring and proactive fault detection in GPU/InfiniBand setups.
• Configure and manage GPU devices and InfiniBand fabrics for reliability and performance.

Tools

Kubernetes

QEMU

KVM

Job description

About Nebius

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are 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.

Built by engineers, for engineers. From large‑scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

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.

Benefits & Perks

• 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

What’s It Like To Work At Nebius

Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI

Equal Opportunity Statement

Nebius is an equal‑opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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.

If you need accommodations during the application process, please let us know.