Senior HPC AI Cluster Engineer

CH01 NVIDIA Switzerland AG; Schweiz; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

NVIDIA Switzerland AG is seeking an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. You will design and operate large-scale HPC/AI clusters, manage job scheduling with Slurm and Kubernetes, and build CI/CD pipelines for deployment and automation.

You will work with cutting-edge GPU computing tech and collaborate with researchers, developers and customers on optimized workflows and novel solutions.

Qualifikationen

• Degree in Computer Science or Engineering with 8+ years of experience.
• Experience with HPC and AI solution technologies from CPU/GPU to high-speed interconnects.
• Proficient in job scheduling workloads and orchestration tools like Slurm and Kubernetes.
• Strong Windows and Linux networking knowledge and OS security fundamentals.
• Experience with Lustre/GPFS or similar storage; Python and Bash scripting.
• Familiarity with cloud platforms (AWS, Azure, GCP) and virtualization (VMware/KVM/Hyper-V).

Aufgaben

• Design, implement and maintain large-scale HPC/AI clusters with monitoring and alerts.
• Manage Linux job/workloads and orchestration tools; develop CI/CD pipelines.
• Develop tooling for deployment/management of large infrastructures and self-service resources.
• Deploy server/network/storage monitoring; perform bottom-up troubleshooting.
• Document standard methodologies; support R&D activities and POCs/POVs.

Kenntnisse

HPC/AI clustering

Slurm orchestration

Kubernetes

Python scripting

Linux/Windows networking

CI/CD pipelines

Automation tools

Networking protocols

Ausbildung

Bachelor's or Master’s in CS/Engineering

Tools

Jenkins

Ansible

Puppet

Chef

VMware

KVM

Hyper-V

Citrix

Docker

Jobbeschreibung

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.