System Engineer - Compute Node

Job not on LinkedIn

February 15

Apply Now
Logo of Nebius Group

Nebius Group

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• About Nebius • Launched in November 2023, the Nebius platform provides high-end infrastructure and tools for training, fine-tuning and inference. • Based in Europe with a global footprint, we aspire to become the leading AI cloud for AI practitioners around the world. • Nebius is built around the talents of around 400 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. • Nebius owns a data center in Finland, built from the ground up by the company’s R&D team. • Our Finnish data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 19th most powerful globally. • We are expanding our infrastructure and plan to add new colocation data centers in Europe and North America already this year, and to build several greenfield DCs in the near future.

🎯 Requirements

• Linux and system-level understanding • Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management. • Knowledge of POSIX, sysfs, system calls and file systems. • Familiarity with server architecture, PCIe devices, NICs and kernel drivers. • Hardware acceleration • Experience (or interest) in working with DPU, GPU and ARM architectures. • Go, C, C++ proficiency • Knowledge of at least one of these languages, ready to learn or work with the others as needed. • Strong grasp of concurrency, debugging and profiling techniques. • Familiarity with the NVIDIA DOCA Software Framework is a plus. • Containerization and orchestration • Experience with Docker, LXC, Kubernetes or similar solutions for development and deployment is highly valued. • Virtualization • QEMU/KVM familiarity is a plus for working with virtualized environments and related tooling.

Apply Now
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com