24 of 24 Slurm Workload Manager Jobs in the UK

cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray). Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible. Optimise GPU compute workloads, high-speed ...

configurations for the Enterprise IT team. Key Responsibilities HPC Management: Oversee the health and performance of our on-premises HPC cluster (Bright Computing/SLURM). Optimise job scheduling and resource allocation across mixed CPU and GPU nodes for computational chemistry and ML applications. DevOps & Container Orchestration: Lead … Linux (RHEL) and SELinux security policies. DevOps: Strong experience with GitLab CI/CD and container orchestration (Docker Swarm). HPC Stack: Proficiency in SLURM workload management and Bright Computing cluster tools. Storage & Identity: Experience with NFS, enterprise storage (EMC2), and managing UID/GID/SID mappings ...

scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container‐ization and orchestration (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape ...

code quality. Some/most of the following should support the skills above: Experience of Cloud computing or HPC job management (such as Slurm). Identity and authorization flows such as OIDC/OAuth2. Deploying containerized services on Linux (such as Podman). Infrastructure as code (such as Ansible ...

Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar ...

continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins ...

strong understanding of Linux operating systems Experience with grid scheduling and compute orchestration for real-time compute management at scale, including technologies such as SLURM Strong understanding of event-driven architecture and experience with messaging and caching technologies such as Kafka, Solace, Pulsar, Memcache, and Redis Experience building ...

training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker ...

Python, Bash, Go or similar scripting experience. Experience supporting production infrastructure. Familiarity with automation and configuration management tools. Exposure to HPC technologies such as Slurm, Lustre or GPFS is advantageous. Location City of London (on-site) Benefits Work with cutting‐edge Linux infrastructure and distributed systems. Solve complex technical ...

public cloud platforms. Infrastructure as Code using Terraform and Ansible. Python, Bash, and PowerShell scripting. Kubernetes and container orchestration. HPC cluster management platforms including Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/… Learning Platforms Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving Programming & Automation Python Bash PowerShell Automation Frameworks Infrastructure Automation HPC Technologies Slurm PBS Bright Cluster Manager RDMA InfiniBand MPI Distributed File Systems Customer & Consulting Solution Architecture Technical Consulting Pre-Sales Executive Presentations Customer Workshops Technical ...

/reliable systems, Care about the experience of the people relying on your infrastructure. Nice to have/Beneficial HPC‐style job scheduling (Kueue, Slurm, MPI, or similar). Experience with large scientific or array datasets. Any background in photonics, semiconductors, EDA, or scientific computing. We are particularly interested ...

ensure seamless AI platform operations. You will design, deploy, and manage large-scale HPC and GPU-accelerated clusters (NVIDIA). You will implement Slurm-based scheduling, optimize InfiniBand/Ethernet networks, and lead automation, monitoring, and incident response across multi-vendor stacks #J-18808-Ljbffr ...

RoCEv2 networking. Develop infrastructure solutions using NVIDIA Blackwell, B300, GB300 and GB200 platforms. Design both bare-metal and Kubernetes-based GPU environments. Work with Slurm, Kubernetes, NVIDIA GPU Operator, NCCL and GPUDirect. Design high-performance storage solutions for AI workloads. Lead technical discussions with CTOs, AI leaders and infrastructure ...

multi-tenant serving or SLA-driven infrastructure. Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system. Familiarity with Kubernetes/Slurm for cluster orchestration. Interest or experience in energy markets, grid systems, or sustainability-focused compute. Benefits Competitive salary and an equity sign-on bonus. ...

with vendor engineering teams to ensure seamless AI platform operations. You will design, deploy and manage large-scale GPU-accelerated clusters using NVIDIA GPUs, Slurm, InfiniBand and high-availability practices, while automating provisioning, monitoring, and security. #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 ...

managing large‐scale HPC and GPU‐accelerated clusters, including NVIDIA based compute environments. Implementing and administering HPC scheduling and resource‐management systems (e.g., Slurm), including GPU partitioning, workload scheduling, and capacity planning. Architecting and optimising InfiniBand and Ethernet network topologies. Ensuring high availability and resilience through failover strategies ...

across on-premises accelerator clusters and cloud (GPU/CPU) for training and simulation workloads Drive infrastructure-as-code practices: containerisation, orchestration (Kubernetes/Slurm), and reproducible environment management Contribute to the internal developer platform: self-service tooling, documentation, and runbooks that raise engineering productivity across the company What … Experience with experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins, or similar) Experience with hardware ...

model lifecycle management is highly desirable 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 ...

data-centre teams. Key Requirements Strong Platform/Infrastructure Architecture experience across compute, storage, networking and Linux. Expert-level Kubernetes architecture experience. Strong Slurm and Run experience - essential. Proven experience with GPU/HPC environments and large-scale AI platforms. Hands-on experience with NVIDIA HGX GB300/NVL72 … including NVLink, NVSwitch and Grace Blackwell architecture. Experience with NVIDIA RTX 6000 series GPU servers. Strong understanding of GPU workload scheduling, partitioning and sharing, including MIG, vGPU and time-slicing Strong understanding of InfiniBand, RoCE, Spectrum-X, GPUDirect RDMA/Storage and high-performance AI fabrics. Experience with Terraform ...

data-centre teams. Key Requirements Strong Platform/Infrastructure Architecture experience across compute, storage, networking and Linux. Expert-level Kubernetes architecture experience. Strong Slurm and Run experience - essential. Proven experience with GPU/HPC environments and large-scale AI platforms. Hands-on experience with NVIDIA HGX GB300/NVL72 … including NVLink, NVSwitch and Grace Blackwell architecture. Experience with NVIDIA RTX 6000 series GPU servers. Strong understanding of GPU workload scheduling, partitioning and sharing, including MIG, vGPU and time-slicing Strong understanding of InfiniBand, RoCE, Spectrum-X, GPUDirect RDMA/Storage and high-performance AI fabrics. Experience with Terraform ...

implementing solutions that adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable)." - Experience architecting for High-Performance Computing (HPC) environments, including knowledge of workload schedulers (e.g., SLURM) and applying cloud-native patterns to scientific, batch-processing workloads. - Familiarity with scientific workflow management tools (e.g., Nextflow, Snakemake ...

role, you will bridge the gap between customer business objectives and ultra-high-performance hardware execution. You will lead technical engagements, translate complex AI workload requirements into production-ready High-Level Designs (HLD), Low-Level Designs (LLD), and detailed Bills of Materials (BOM). Your expertise will span bare …/Spectrum-4) with lossless Ethernet mechanisms (PFC, ECN, Adaptive Routing). Multi-Tenant & Deployment Models: Deliver tailored architectures for both Bare-Metal (Slurm, OpenMPI, bare-metal provisioning) and Cloud-Native/Kubernetes environments (NVIDIA GPU Operator, Network Operator, Run:ai, KubeFlow). Storage Integration: Architect high-bandwidth parallel ...

surface live metrics. Write efficient, well-tested Python and systems code; enforce code review, CI, and observability. Design and optimise distributed services (Kubernetes/SLURM, thousands-of-GPU jobs). Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries. About the Research Engineering team Based … observability. Fluency in Python plus one systems language (C++, Rust, Go or Java). Hands-on with container orchestration and schedulers (Kubernetes/K8s, SLURM, or similar). Comfortable profiling performance, optimising I/O, and automating workflows. Self-starter, low-ego, collaborative, high-energy. Nice-to-haves Exposure ...