Senior HPC AI Cluster Engineer
Location
France
Work type
Remote
Employment
Full Time
Experience
8+ years
Compensation
Compensation not disclosed
Posted
2d ago
Summary and responsibilities
Role overview
Summary
Design, implement, and maintain large-scale HPC/AI clusters, including monitoring, logging, and alerting. Manage Linux job/workload schedules, develop CI/CD pipelines, and automate infrastructure deployment and management. Troubleshoot issues from bare metal to application level and document best practices.
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 practices 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
Updated 2d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
8+ years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
NVIDIA
Team size
Growing team
Location
France
NVIDIA is a technology company focused on building supercomputers and AI clusters based on groundbreaking technologies, contributing to the latest breakthroughs in artificial intelligence and GPU computing.
Popular Domains
Explore opportunities across specialized functional areas.
Trending Industries
Discover roles in the world's most innovative sectors.
Senior HPC AI Cluster Engineer
France • Full Time