System engineer (compute node) Work, Jobs in London, Eng (with Salaries)

System Engineer (Compute Node)
Nebius —London
- C++
- Linux
Quick apply
6d
Senior System Safety Engineer
AeroVect —London
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
11d
AI infrastructure engineer
Linux Recruit —London
- £80,000 - £150,000 a year
- AWS
- Machine learning
- AI
12d
Machine Learning & Cloud Infra Engineer
SpAItial —London
- Full-time
- Machine learning
Machine Learning Systems & Infrastructure Engineer
SpAItial —London
- Full-time
- SQL
- Machine learning
Software Engineer, Platform Systems
OpenAI —London
- £310,000 - £460,000 a year
- Full-time
HPC Network Engineer
Fuse Energy —London
- Full-time
Quick apply
Hardware Engineer, RTL
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- AI
Inference Performance & Deployment - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
- Communication skills
Quick apply
Hardware Engineer, Physical Design
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Scripting
12d
Staff Platform Engineer
DeepL —London
- Full-time
- Hybrid work
- AWS
- Mentoring
- Annual leave
- Flexible schedule
9d
Principal Backend / Fullstack Engineer (E-commerce & Platform Integrations)
Noble Panacea —London
- £90,000 - £110,000 a year
- Full-time
- Hybrid work
- DevOps
- Bachelor's degree
- Mentoring
Quick apply
Senior Cloud Engineer
CreateFuture —London
- Full-time
- Hybrid work
- Travel
- Mentoring
- Scripting
Quick apply
Founding Engineer, Infrastructure & Platform
HelmGuard Technologies, Inc. —London
- Full-time
- Azure
Quick apply
CUDA Engineer
Fuse Energy —London
- Full-time
- Remote
- C++
Quick apply
Machine Learning Research Engineer (Foundational Research)
Thomson Reuters —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Research
Founding GPU Engineer
Fuse Energy —London
- Full-time
- Remote
- Machine learning
Quick apply
Member of Technical Staff - Engineering Lead, Compute Platform
Reflection —London
- Full-time
- Team management
- Mentoring
- Leadership
- Annual leave
Technical Lead
QuantumLoopAI —London
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
Quick apply
Senior Applied Research Engineer - Video Team
Synthesia —London
- Full-time
- Remote
- Research
- AWS
- Communication skills
- Annual leave

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System Engineer (Compute Node)

Nebius
London

Quick apply

Job details

6 days ago

Qualifications

Go
Kubernetes
Kubernetes orchestration
OS Kernels
C++
Virtualisation
Linux
ARM
Debugging

Full 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

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have:

1. Containerization & Orchestration

Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux & 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.

4. Hardware Acceleration

Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.
Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go, 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.

We conduct coding interviews as part of the process.

#LI-JS1

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.

Quick apply

Refine Your Search

system engineer (compute node) jobs in london, eng

System Engineer (Compute Node)

Senior System Safety Engineer

AI infrastructure engineer

Machine Learning & Cloud Infra Engineer

Machine Learning Systems & Infrastructure Engineer

Software Engineer, Platform Systems

HPC Network Engineer

Hardware Engineer, RTL

Inference Performance & Deployment - Member of Technical Staff

Hardware Engineer, Physical Design

Staff Platform Engineer

Principal Backend / Fullstack Engineer (E-commerce & Platform Integrations)

Senior Cloud Engineer

Founding Engineer, Infrastructure & Platform

CUDA Engineer

Machine Learning Research Engineer (Foundational Research)

Founding GPU Engineer

Member of Technical Staff - Engineering Lead, Compute Platform

Technical Lead

Senior Applied Research Engineer - Video Team

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