Compute Node Systems Engineer - GPU/VM Orchestration

Nebius; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

Job summary

Nebius, listed on Nasdaq, is building a full-stack AI cloud platform from data and model training to production deployment. The Compute Node team develops services to manage Virtual Machines on GPU servers and interfaces with disk management and high-performance networks across multi-region data centers.

We value Kubernetes for both deployment and development, virtualization with KubeVirt/QEMU/KVM, deep Linux internals, and GPU/DPUs with ARM support.

Qualifications

• Containerization and orchestration experience with Kubernetes for development and deployment.
• Familiarity with virtualization technologies such as KubeVirt and QEMU/KVM.
• Solid Linux systems understanding: POSIX, file systems, system calls, kernel drivers.
• Experience with GPUs/DPUs and ARM architectures; NVIDIA DOCA knowledge is a plus.
• Proficiency in Go or C++ with strong concurrency, debugging and profiling skills.

Responsibilities

• Develop services for managing GPU-backed Virtual Machines across clusters and data centers.
• Collaborate on integration with disk management and InfiniBand networks.
• Participate in coding interviews as part of the hiring process.

Skills

Kubernetes

KubeVirt

QEMU/KVM

Linux

POSIX

System calls

Kernel drivers

GPUs

DPUs

ARM architectures

NVIDIA DOCA

Go

C++

Concurrency

Debugging

Job description

Nebius, listed on Nasdaq, is building a full-stack AI cloud platform from data and model training to production deployment. The Compute Node team develops services to manage Virtual Machines on GPU servers and interfaces with disk management and high-performance networks across multi-region data centers.

We value Kubernetes for both deployment and development, virtualization with KubeVirt/QEMU/KVM, deep Linux internals, and GPU/DPUs with ARM support.