Senior HPC AI Cluster Engineer

NVIDIA AI; Zürich; Vor Ort; CHF 180.000 - 260.000; Vollzeit

Zusammenfassung

NVIDIA is looking for an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team in Zürich. You will design, build and operate large-scale HPC/AI clusters and pipelines, collaborating with researchers, developers and customers to deliver optimized workflows and new solutions.

Responsibilities include managing job schedules, automating deployments, and implementing monitoring across servers, storage and networks.

Qualifikationen

• A degree in Computer Science, Engineering, or a related field and 8+ years of experience.
• Experience with 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 networking (sockets, firewalld, iptables, wireshark, etc.) and OS internals, ACLs and OS level security.
• Experience with multiple storage solutions such as Lustre, GPFS, Weka.io.
• 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 (VMware, Hyper-V, KVM, or Citrix).
• Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud).

Aufgaben

• 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.
• Deploy monitoring solutions for the servers, network and storage.
• Perform troubleshooting bottom up from bare metal, OS, software stack and application level.
• Develop, redefine and document standard methodologies to share with internal teams.
• Support R&D activities and engage in POCs/POVs for future improvements.

Kenntnisse

HPC/AI systems

Job scheduling

Linux networking

Python

Bash scripting

Automation

Virtualization

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Slurm

Kubernetes

Jenkins

Ansible

Puppet/Chef

Docker

Virtualization (VMware/Hyper-V/KVM)

Jobbeschreibung

Job Requisition ID

JR2018385

Job Category

Engineering

Time Type

Full time

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.