Senior HPC AI Cluster Engineer

Germany
Yesterday
Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
22 May 2026 (Yesterday)

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. we are focused on building supercomputers and AI clusters based on groundbreaking technologies. We are looking for an outstanding engineer, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you will be doing:

  • Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting

  • Manage Linux job/workload schedules and orchestration tools

  • Develop and maintain continuous integration and delivery pipelines

  • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources

  • Deploy monitoring solutions for the servers, network and storage

  • Perform troubleshooting bottom up from bare metal, operating system, software stack and application level

  • Being a technical resource, develop, re-define and document standard methodologies to share with internal teams

  • Support Research & Development activities and engage in POCs/POVs for future improvements

What we need to see:

  • A degree in Computer Science, Engineering, or a related field and 8+ years of experience

  • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software

  • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s

  • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

  • Experience with multiple storage solutions such as Lustre, GPFS, Weka.io. Familiarity with newer and emerging storage technologies.

  • Python programming and bash scripting experience.

  • Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef

  • Deep knowledge of Networking Protocols like InfiniBand, Ethernet

  • Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)

  • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

Ways to stand out from the crowd:

  • Knowledge of CPU and/or GPU architecture

  • Knowledge of Kubernetes, container related microservice technologies

  • Experience with GPU-focused hardware/software (DGX, Cuda)

  • Experience with RDMA (InfiniBand or RoCE) fabrics

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Senior HPC AI Cluster Engineer

NVIDIA Germany
Remote

Senior HPC AI Cluster Engineer

Remote

Senior HPC AI Cluster Engineer

Remote

Senior HPC AI Cluster Engineer

Remote

Senior HPC AI Cluster Engineer

Remote

Senior HPC and AI Network Software Architect

NVIDIA Switzerland
On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.