26 to 50 of 62 Slurm Workload Manager Jobs in England

determinism when chasing a timing or interleaving bug, rather than for more logging. Depth in the scheduling and workflow landscape - Temporal, Hatchet, Airflow, Slurm, Postgres-backed queues - and the judgement to borrow from it rather than reinvent. A track record of pinning down failures that others could not. ...

workloads, GPU orchestration platforms, and AI/ML technologies such as Kubeflow, MLflow, JupyterHub, Run:AI, Rafay, ClearML, and MLOps solutions. Experience with HPC workload scheduling and resource management tools such as Slurm and PBS Pro, as well as deploying and integrating high-performance storage platforms including GPFS ...

openstack HPC stackhpc community news AI azimuth ironic monitoring deployment baremetal kolla-ansible ansible networking kayobe kolla infrastructure kubernetes slurm monasca scheduling newsletter mpi virtualisation beegfs cloudkitty sriov cluster training ciuk operations recruitment network overcloud slinky ceph data github ucx galaxy cloud-init storage gpu grafana cuda vm kata … following additional technologies is always beneficial: O/S : Rocky Linux, Ubuntu Storage : Ceph, NFS Networking : Ethernet, Infiniband, SRIOV Compute and Workloads : Kubernetes, Slurm Our technology stack is constantly evolving to meet market and user requirements. So we will help you get up to speed as required. Flexible working ...

design, deploy, and maintain HPC services, containers, and workflows, aligning with strategic goals and research needs. The role requires extensive experience with Linux HPC, SLURM, and software packaging, plus strong collaboration with researchers and cross‐functional IT teams to deliver reliable, high‐performance solutions. #J-18808-Ljbffr ...

operates its own dedicated HPC environment, which is extensively used by multidisciplinary research groups and Institute facilities. The LMS IT department currently manages a SLURM-based cluster comprising CPU, high-memory (HMEM), and GPU nodes, supporting a diverse range of computational research. About the role As the Institute ...

determinism when chasing a timing or interleaving bug, rather than for more logging. Depth in the scheduling and workflow landscape - Temporal, Hatchet, Airflow, Slurm, Postgres-backed queues - and the judgement to borrow from it rather than reinvent. A track record of pinning down failures that others could not. ...

storage, and orchestration, guiding customers and collaborating with Engineering, Infrastructure, and Deployment teams. Main focus is translating complex requirements into scalable architectures, using Kubernetes, Slurm, and IaC to accelerate design, validation, and deployment readiness, while ensuring reliability #J-18808-Ljbffr ...

combine hands-on engineering with scientific impact and collaborate with researchers, engineers and LMS IT colleagues to deliver robust, scalable HPC solutions in a SLURM-based cluster #J-18808-Ljbffr ...

administering Linux‐based systems in an HPC, research, academic, or production environment Experience in configuration and maintenance of multi‐queue job scheduling systems (e.g. SLURM) Experience in the use of scientific software compilation and deployment systems (e.g. Spack, EasyBuild, Lmod, conda) Virtualisation and containerisation deployment and management (e.g. Docker … verbal and written communication skills Able to self‐motivate when working independently, on projects, and collaboratively within a team Effectively plans, multitask, and prioritises workload to achieve results, adapting quickly while maintaining control in challenging situations Ensures appropriate engagement of colleagues with relevant stakeholders and issues Ability to develop ...

with a focus on preventing data leakage, model exfiltration, and supply-chain compromise. You will own the security architecture for the research cluster, harden SLURM-based systems, manage zero-trust networking, and #J-18808-Ljbffr ...

concepts (POCs) focused on AI workloads (training/inference), HPC simulations, and data-intensive applications. Support cluster bring-up and optimization, including OS provisioning, workload managers (e.g., Slurm), container platforms, and GPU software stacks (CUDA, drivers, AI frameworks). Provide advanced troubleshooting and performance tuning across compute … stack. Experience working across customers, sales, and engineering/manufacturing teams. Preferred Skills Knowledge of AI/HPC software stacks such as CUDA, Kubernetes, Slurm, Docker, and AI frameworks like PyTorch/TensorFlow. Experience designing or deploying AI training clusters or large-scale HPC environments. Exposure to liquid cooling ...

education, life sciences, and the private sector, including sovereign compute. Shape solutions around each sector's user communities, funding cycles and operating models. Workload Characterisation & Sizing – Profile customer applications to understand whether each is limited by compute, memory, input/output or interconnect speed, and how it scales. Combine … high-performance interconnects (InfiniBand and high-performance Ethernet, including RoCE), and parallel storage (for example Lustre, WEKA, VAST Data or DDN). HPC software: workload schedulers (Slurm, PBS Pro or LSF), cluster management, MPI[1]based applications, containers (Apptainer, and Kubernetes for AI), and scientific software environments. Workload ...

education, life sciences, and the private sector, including sovereign compute. Shape solutions around each sector's user communities, funding cycles and operating models. Workload Characterisation & Sizing – Profile customer applications to understand whether each is limited by compute, memory, input/output or interconnect speed, and how it scales. Combine … high-performance interconnects (InfiniBand and high-performance Ethernet, including RoCE), and parallel storage (for example Lustre, WEKA, VAST Data or DDN). HPC software: workload schedulers (Slurm, PBS Pro or LSF), cluster management, MPI[1]based applications, containers (Apptainer, and Kubernetes for AI), and scientific software environments. Workload ...

high-performance, high-IOPS cloud storage solutions, ensuring seamless data synchronisation, backup strategies, and optimal throughput. Automate the deployment, configuration, and auto-scaling of workload orchestrators, container platforms, and core service components to ensure high resource utilisation and cost efficiency. Enforce strict security protocols across all environments by implementing … benefit updates for leadership. Experience - Desirable Proven track record of architecting and deploying production HPC workloads on AWS using AWS ParallelCluster, SOCA or custom Slurm fleets. Ability to architect for maximum cost efficiency, implementing automated spot-instance utilization, auto-scaling strategies, and Savings Plans optimization. Proficiency in monitoring infrastructure ...

following will also be highly valued: High-performance or high‐availability storage servers/clusters (Lustre, Ceph, Weka, PEAK:AIO) HPC workload managers (Slurm, LSF) Proficiency in scripting (e.g. Python) Our infrastructure is used for research and development. Support will generally only be required during UK business hours ...

issues across compute, networking, storage, and operating systems. Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools. Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems. Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure. Strong systems ...

Define storage architectures and data pipelines supporting large-scale AI training and inference workloads. Design infrastructure and orchestration layers, including bare-metal provisioning, Kubernetes, Slurm, and multi-tenant scheduling. Architect control plane and management systems covering monitoring, alerting, and cluster lifecycle management. Customer Engagement & Technical Advisory Engage directly with …/HPC solutions. Deep technical understanding across the full GPU infrastructure stack, from bare-metal compute and networking through to orchestration and workload management. Proven ability to translate complex customer requirements into detailed technical architectures and implementation plans. Strong analytical and problem-solving skills, with the ability to troubleshoot ...

Linux system administration. Familiarity with at least one scripting language (e.g., Bash, Python). Interest in high-performance computing and willingness to learn Slurm, xCAT, and Ansible. Strong problem-solving skills and attention to detail. Good communication and collaboration skills. Ability to work independently with mentorship and as part … week. No hybrid/remote working option. Internship or academic experience in a research computing or HPC environment. Exposure to job schedulers (e.g., Slurm, LSF). Familiarity with version control systems (e.g., Git). Coursework or projects involving distributed systems, networking, or parallel computing. Understanding of basic cybersecurity concepts. ...

following would also be highly beneficial High-performance or high-availability storage servers/clusters (Lustre, Ceph, Weka, PEAK:AIO) HPC workload managers (Slurm, LSF) #J-18808-Ljbffr ...

observability tools (Prometheus, Grafana) is beneficial Bonus/Good to Have HPC & Cluster Management: Experience handling large-scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration Data Engineering: Expertise with data pipelines, ETL systems, and large-scale data processing frameworks Systems-Level ...

challenges and continually improve the platform. You’ll work across Linux based compute environments, GPU infrastructure, high performance storage and networking, with technologies including Slurm, Python, Bash and Ansible. You’ll also have exposure to HPC software management through Spack or EasyBuild, containerisation with Docker or Singularity, and monitoring … from the platform and translating complex technical requirements into practical solutions. If you have solid HPC or Linux infrastructure experience and enjoy working with Slurm, GPUs, automation and large scale systems, this is a chance to take on a technically varied role within an environment where engineering ...

hardware utilization and accelerate the pace of AI-driven drug discovery. What you will do Own the Scheduling Layer: Design, operate, and extend ML workload scheduling systems to handle dynamic batch inference and long-running training workloads. Optimize Compute Utilization: Drive the implementation of scheduling policies like gang scheduling … across our fleets of committed GPUs and TPUs. Partner with Research: Collaborate directly with ML researchers and the broader Infrastructure team to understand workload behavior, troubleshoot bottlenecks, and turn research requirements into platform capabilities. Ensure Reliability: Build systems with clear failure semantics. Participate in the operational lifecycle ...

parallel file systems, object storage, and tiered storage Provide technical leadership and oversight to engineering and operations teams Lead performance benchmarking, capacity planning, and workload modelling activities Identify and resolve system bottlenecks to ensure optimal throughput and scalability Establish standards, reference architectures, and best practices across HPC environments Collaborate … with internal stakeholders and external vendors to align infrastructure with evolving business needs Support the development of workload orchestration strategies using tools such as SLURM and Kubernetes The ideal candidate would have: Strong background in high-performance computing environments and infrastructure design Experience working with open-source technologies ...

hybrid working model, required onsite 3 days a week. Experience for the Build Engineer includes: Software development with Python Modern build systems, e.g. Bazel Workload management, e.g. Slurm, LSF or SGE Infrastructure as code or IAC, e.g. Ansible or Terraform Containerisation, e.g. Docker Desired: Experience supporting silicon ...

solutions using Python, C++; and Go. Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications, Capabilities, And Skills Formal training or certification on Software Engineering concepts and 5+ years … applied experience. Expertise in C++, Python, Kubernetes (K8s), and HPC/Grid Computing technologies (Slurm, LSF, Symphony), GenAI, agent framework and tools, observability tooling such as OTel Proven experience with cloud technologies and environments Strong problem-solving skills and the ability to work collaboratively in a team setting. Experience ...