Nvidia Senior HPC AI Cluster Engineer Germany, North Rhine-Westphalia 260974507
Share
- Germany, Remote
- France, Remote
- UK, Remote
- Spain, Remote
- Italy, Remote
- time type
- Full time
- posted on
- Posted 30+ Days Ago
- job requisition id
Designing, implementing and maintaining large scale HPC/AI clusters with monitoring, logging and alerting
Managing Linux job/workload schedules and orchestration tools
Developing and maintaining continuous integration and delivery pipelines
Developing 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
Deploying monitoring solutions for the servers, network and storage
Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
Being a technical resource, developing, re-defining and documenting standard methodologies to share with internal teams
Supporting Research & Development activities and engaging in POCs/POVs for future improvements
Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience
5+ 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, firewalls, 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, zfs and xfs. 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)
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Background with RDMA (InfiniBand or RoCE) fabrics
These jobs might be a good fit
