1 to 25 of 33 Slurm Workload Manager Jobs in London

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 ...

AlertManager).Experience with a variety of database platforms (e.g., PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB).Familiarity with specific middleware (e.g., Kafka, Consul), HPC schedulers (e.g., Slurm), Kubernetes, or workflow orchestrators (e.g., Airflow, Prefect).Experience with on-premise deployments of development tools like GitLab, Artifactory, CICD, or JupyterHub. Knowledge of other ...

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 ...

Need: At least 5+ years of professional experience in high performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch systems (e.g., Slurm, Grid Engine), and high-performance network interconnects experience is a plus, but not required At least 5+ years of experience with Linux systems administration High proficiency ...

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 ...

engineer who thrives in early stage startup environments and prefers broad systems ownership over narrow specialisation. Technical Expertise: Strong production background with AWS, Kubernetes, Slurm, PyTorch, and distributed training frameworks. Deep hands-on experience with GPU compute optimisation, cluster scheduling, and high performance networking is essential. Relevant Background: Experience ...

comfort in fast‐moving, under‐specified environments. Nice to have Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). Experience building reliable ML infrastructure, evaluation systems, or large‐scale data processing pipelines. Research experience in LLMs, agents, multimodal ...

with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory. Bachelor's or Master's degree in Computer ...

least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware‐level monitoring concepts. Demonstrated experience scaling systems from Proof‐of‐Concept ...

drive proofs of concept to accelerate client deployments. You will collaborate with engineering teams, contribute to product direction, and help optimize workloads using Slurm, NCCL, and Infiniband in high-performance environments. #J-18808-Ljbffr ...

throughput, and ensuring training is as efficient and cost-effective as possible. You'll also play a critical role in managing cluster orchestration with Slurm and Kubernetes while helping evolve the platform to support next-generation GPU infrastructure and specialised compute providers. This is an opportunity to work across ...

This company is on the hunt for HPC Engineers to power their 25 Petabyte system.... Sound good? Well there's more! Imagine working with Slurm clusters and GPFS storage, all while being an integral part of groundbreaking translational research. You will work in a dynamic team of five, where ...

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 ...

scale inference; multi-tenant serving or SLA-driven infrastructure; background at a hyperscaler, frontier AI lab or large-scale distributed inference system; Kubernetes/Slurm; interest in energy markets, grid systems or sustainability-focused computeBenefitsCompetitive salary and eligibility for equityBiannual bonus schemeFully expensed tech to match your needsPrivate health ...

scale inference; multi-tenant serving or SLA-driven infrastructure; background at a hyperscaler, frontier AI lab or large-scale distributed inference system; Kubernetes/Slurm; interest in energy markets, grid systems or sustainability-focused compute Competitive salary and eligibility for equity Biannual bonus scheme Fully expensed tech to match ...

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. ...

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 Institutes computational ...

engineering solutions. Partner with centralised infrastructure teams to design and deliver high-performance compute environments across AWS and on-premises platforms, including GPU infrastructure, Slurm clusters, and migration from ad hoc research workflows. Optimise LLM training and inference workloads, supporting research and product teams in maximising performance, scalability … Nsight, DCGM, and related ecosystem technologies. Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation. Experience with workload orchestration technologies such as Slurm, Kubernetes, Ray, or equivalent distributed compute frameworks. Demonstrated success bridging research and production environments, enabling rapid experimentation while ...

platform s. Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Programming experience with Python3 utilising classes and inheritance. Benefits In addition to a competitive salary flexible working ...

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 ...

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 ...

engineering, and operations teams to ensure proposed solutions are realistic, scalable, and aligned with platform standards Provide guidance on compute, networking, storage, orchestration, and workload optimisation for AI and machine learning use cases Help create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials … data centre, or platform environments Good understanding of cloud infrastructure, GPU compute, AI/ML workloads, or high-performance infrastructure Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models Understanding of networking, storage, and distributed compute concepts in modern infrastructure environments Ability to quickly learn ...

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 … scale real-time portfolio analytics tools, cloud platforms, containerization technologies such as Docker and Kubernetes, or multi-threaded C++ is a plusRecruiter: Ruby KazmiHiring Manager: Shashank GiriDepartment: Information Technology ...

controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always … Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemptionScale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds usDesign, build, and operate core cluster services such ...

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 optimization and suggesting suitable solutions. Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with … related technical discipline, or equivalent experience 7+ years of proven experience as a Solutions Architect, Field Engineer, Engineer, Researcher, or Technical Account Manager in Cloud Infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference Fluency in cloud computing ...