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 »
processes and configurations as necessary. Required Education, Experience, & Skills: Bachelor's Degree and 4 years work experience or equivalent experience. Experience with scheduler/workloadmanager (Portable Batch System (PBS), Simple Linux Utility for Resource Management (SLURM), or IBM Platform Load Sharing Facility (LSF . Expertise in 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 »
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 »
systems, CI/CD, etc.) Attention to detail needed to manage and debug production services. Experience with research clusters and implementing tools such as Slurmworkload manager. Job Duties Own the lifecycle of our Linux-based servers and applications across our multiple business environments. Automate and troubleshoot a more »
control, and CI/CD. Strong attention to detail for effectively managing and debugging production services. Experience with research clusters and tools like the Slurmworkload manager. Key Responsibilities: Oversee the lifecycle of Linux-based servers and applications across multiple business environments. Automate and troubleshoot a wide range 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 »
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 »
