6 of 6 Permanent Weka Jobs in London

center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute. Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AI ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed ...

with LLM-assisted development, code generation, and agentic automation pipelines. Storage, AI Workloads & Reliability Experience with storage technologies supporting AI workloads, including Lustre, GPFS, WEKA, BeeGFS, or large-scale NFS. Understanding of distributed training and inference infrastructure requirements. Familiarity with AI/ML frameworks such as PyTorch, DeepSpeed, or Megatron ...

platforms such as HGX H100/H200/B200 or GB200 rack-scale systems, NVIDIA UFM and GPUDirect RDMA Parallel file systems such as WEKA, VAST, DDN/Lustre or GPFS Running GPU workloads on Kubernetes, or integrating HPC clusters with Kubernetes or OpenStack A background supporting AI/ ...

compute (NVIDIA, AMD, Intel and Arm-based platforms), 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 ...

Senior Infrastructure Operations Engineer (EMEA) London, England, United Kingdom Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying ...

unit economics. Qualifications: Experience owning technical products, cloud infrastructure, storage platforms, or developer-facing infrastructure services. Strong understanding of high performance storage systems (WEKA, VAST, DDN) and cloud storage workloads. Strong technical fluency across: Storage: object, block, file, snapshots, replication, caching Protocols & interfaces: S3, NFS, CSI, NVMe/NVMe … Infrastructure: Kubernetes, containers, networking, cloud platforms Reliability: durability, availability, consistency, failure recovery Observability & security: metrics, logging, IAM, encryption, auditability Familiarity with technologies such as Weka, Vast, DDN, MinIO, Lustre, Pure Storage, or similar. Able to reason about trade-offs between performance, durability, availability, cost, and operational complexity. Strong prioritisation, communication ...