SLES EnterpriseMandatory technical skills:Linux administrationSuch as: SuSE or RedHat - any modern Linux distribution admin experience will be considered.Cluster management solutionsSuch as: Bright Cluster manager, PXE booting, OpenHPC, Warewulf or RocksBeneficial technical skills:Experience using or managing HPC clustersSuch as: Beowulf, OpenStack or HadoopExperience managing batch scheduling systemsSuch as … PBS Pro, Slurm, SGE/UGE, Microsoft Scheduler Experience with scientific or engineering applicationsSuch as LSDyna, Altair Hyperworks, AbaqusScripting skillsPrimarily Bash, but any shell scripting along with Python and Perl.Beneficial 'Soft' skills:Good problem-solving skillsStrong stakeholder management skillsStrong communication skillsPlease be aware that you will be joining the more »
About the job : We are seeking a dynamic and experienced Project/Program Manager with expertise in Google Cloud Platform and Kubernetes The Senior Program Manager will lead and drive the creation of a Hybrid Compute Grid for Quantitative Researchers in one of the world's most successful … Cloud Platform (GCP), Kubernetes, Data Science, and unified compute frameworks. An understanding of the product domain is helpful. Requirement: Demonstrated proficiency as a Program Manager The ideal candidate with a strong background in Hedge Funds background. Excellent with Google Cloud Platform and Kubernetes Excellent with Data Science or compute … frameworks (ray.io or slurm) Experience with Google Professional Service Funding preferred. Strong understanding of product development and enablement Excellent communication and collaboration skills, as this role involves liaising with multiple stakeholders, including the client and external partners. Proven ability to create and manage program roadmaps, budgets, and timelines. Experience more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
such as GPU-specific languages. Experience with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date more »
Berkeley Square - Talent Specialists in IT & Engineering
adoption of their solution and the ongoing support of its usage. You will have the following skills: Strong Linux systems administration skills GPU experience SLURM Bash Ansible (desirable) Kubernetes (desirable) This company are self-sustaining and profitable and so can offer you not only an interesting role at the more »
using deployment and automation tools such as Ansible, Airflow, and Jenkins Knowledge of containerization technologies Experience with research clusters and implementing tools such as Slurmworkload manager. more »
Ethernet), processors (Intel/AMD/ARM/NVIDIA), parallel file systems, and data center infrastructure. Additional skills in MPI, parallel job scheduling (e.g., SLURM), and management & monitoring tools (e.g., Icinga, Prometheus, Grafana) are advantageous. Requirements: Eligible and willing to undergo UK Govt. security clearance. Proven experience as a more »
Engineering. You'll need strong engineering skills and will be able to code in order to run workloads across 1000 + nodes. HPC is slurm focussed and you'll need strong understanding of Nvidia GPU. Along with a knowledge of Kubernetes as well. What You'll Do: Lead proof … functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimisation and suggesting suitable solutions. Stay abreast of the latest developments and trends in cloud computing and infrastructure, sharing your thought leadership with customers more »
Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data more »
Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data more »
commit to an onsite working model. Experience for the DevOps Engineer incudes: 2+ years’ experience as a DevOps Engineer Experience with Gitlab Cl, Docker, Slurm, Python and Ansible Experience with Linux system admin Knowledge of Tailscale Knowledge of Mikrotik RouterOSIf you’re a DevOps Engineer looking for an exciting more »
to 6 months Key Skills needed - Design/implementing Unix/Linux system and services open-source solutions and performance tuning. - HPC technologies: Lustre, Slurm - Configuration systems such as Ansible and Terraform - Unix/Linux scripting. - Networking: TCP/IP, DHCP, VLANs, spanning tree protocol, link aggregation for performance more »