26 to 42 of 42 InfiniBand Jobs in London

Operations: Participatein a shift-based model to ensurecontinuous availability of critical network services. Multi-Vendor Expertise: Operateacrossdiverse environments including Arista, Cisco, Cumulus, Spectrum Ethernet,InfiniBand, Palo Alto, Check Point, Mist, Aruba, A10,Netscaler, andF5. Security & Segmentation: Support networksegmentation, policy enforcement, and VPN solutions (GlobalProtect,AnyConnect). Automation & Observability: Utilizetoolslike Grafana … ServiceNow, ITMP, syslog, Splunk,Salt,Ansible, andPrometheusto enhance monitoring andautomation. Innovation Projects: Collaborate on wireless design and AI clusterdeployments to supportcutting-edgeinitiatives. PreferredSkills Experiencewith InfiniBand and AI cluster deployments . Familiaritywith network asset management systems (e.g.,Nautobot). Wirelessdesign experience with Cisco, Mist, Aruba . #J-18808-Ljbffr ...

ultimately build and lead the team responsible for the function. Responsibilities: Design and run cluster validation and certification: performance benchmarks, interconnect testing (NCCL, InfiniBand/RoCE), thermal and power verification, availability monitoring against SLAs. Build automation for cluster deployment, health checks, and continuous testing so certification scales without headcount scaling ...

tooling/orchestrationExperience with performance profiling tools (Nsight Systems/Compute)Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand)Strong grasp of memory optimisation, kernel fusion and parallel algorithm designComfortable working across the stack, from low-level kernels to system-level infrastructureBonus: Triton, cuDNN, cuBLAS ...

Intel TDX, or Confidential Containers (CoCo). Experience building SaaS or PaaS layers on top of an IaaS platform. Familiarity with RDMA, InfiniBand, or RoCE networking in GPU or HPC clusters. Experience working distributed across time zones with counterparts in other regions. Exposure to serverless or inference serving infrastructure. ...

ongoing operation of the networking services underpinning both our internal management platform and customer-facing cloud infrastructure. This includes high-performance Ethernet fabrics, InfiniBand, RoCE, WAN connectivity, and large-scale data centre networking. In this role, you'll set technical direction across the low-latency, high-bandwidth networks supporting large … Platform Engineering, Systems, Storage, and technology vendors. What you'll be doing AI & High-Performance Network Architecture Define, design, validate, and evolve large-scale InfiniBand, RoCE, and Ethernet fabric architectures at rack, row, and data centre scale. Design networks that integrate closely with bare-metal provisioning and cluster management systems. ...

/orchestration. Experience with performance profiling tools (Nsight Systems/Compute). Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand). Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design. Comfortable working across the stack from low-level kernels to system-level infrastructure. ...

supporting both internal workloads and external collaboration. The environment includes large scale HPC clusters, Linux based systems, workload schedulers such as Slurm, networking with Infiniband and parallel file systems such as GPFS. Experience with high performance storage at petabyte scale is particularly relevant, alongside a broader understanding of automation, data ...

cuBLAS. Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization and asynchronous memory loads. Background in Infiniband, RoCE, GPUDirect, PXN, rail optimisation and NVLink, and how to use these networking technologies to link up GPU clusters. An understanding of the collective algorithms ...

cuBLAS Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization and asynchronous memory loads Background in Infiniband, RoCE, GPUDirect, PXN, rail optimisation and NVLink, and how to use these networking technologies to link up GPU clusters An understanding of the collective algorithms ...

networking authority for the company. You own the fabric from architecture through day-2 operations.ResponsibilitiesDesign and operate lossless, RDMA-capable fabrics (e.g. RoCEv2, InfiniBand) for GPU compute and storage traffic, including QoS, congestion control and buffer tuning at scaleBuild and manage leaf-spine data centre fabrics, with routed underlay … Linux networking stack, not just a vendor CLIPractical RDMA fabric experience: lossless Ethernet (e.g. RoCEv2 with PFC/ECN/DCQCN tuning) or InfiniBand, understanding why lossless behaviour matters for GPU workloadsNetwork automation as a working practice: scripting (e.g. Python), configuration management (e.g. Ansible), config generation from a source ...

authority for the company. You own the fabric from architecture through day-2 operations. Responsibilities Design and operate lossless, RDMA-capable fabrics (e.g. RoCEv2, InfiniBand) for GPU compute and storage traffic, including QoS, congestion control and buffer tuning at scale Build and manage leaf-spine data centre fabrics, with routed … Linux networking stack, not just a vendor CLI Practical RDMA fabric experience: lossless Ethernet (e.g. RoCEv2 with PFC/ECN/DCQCN tuning) or InfiniBand, understanding why lossless behaviour matters for GPU workloads Network automation as a working practice: scripting (e.g. Python), configuration management (e.g. Ansible), config generation from ...

hierarchies of modern processors.Experience with fast-packet processing in user space and familiarity with kernel-bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similarExperience optimising performance in managed runtime languages such as C# is desirableWhy join us Highly competitive compensation plus annual discretionary bonusLunch provided ...

modern processors. Experience with fast‐packet processing in user space and familiarity with kernel‐bypass techniques such as Solarflare OpenOnload, TPCDirect, ef_vi, InfiniBand verbs, DPDK or similar. Experience optimising performance in managed runtime languages such as C# is desirable. Financial market knowledge is not required. Benefits Highly competitive compensation ...

NVIDIA GPU clusters for AI and HPC workloads. Develop HLDs, LLDs, rack designs and detailed BOMs. Design NVLink/NVSwitch architectures. Design high-speed InfiniBand and RoCE/RoCEv2 networking. Develop infrastructure solutions using NVIDIA Blackwell, B300, GB300 and GB200 platforms. Design both bare-metal and Kubernetes-based GPU environments. … infrastructure. Experience with HGX/DGX/Blackwell/B300/GB300/GB200. Strong knowledge of NVLink/NVSwitch. Expert knowledge of InfiniBand and/or RoCE/RoCEv2. Experience with GPU clusters, HPC or AI infrastructure. Knowledge of Kubernetes and/or Slurm. Experience producing HLDs, LLDs, architecture ...

centre, power and ongoing operational expenditure Evaluate and recommend data centre/colocation partners capable of supporting high-density GPU racks Define networking topology (InfiniBand/Ethernet fabric) to optimise for distributed training and inference workloads Liaise with hardware vendors, OEMs and data centre providers to validate specifications and negotiate … NVIDIA H100/H200/B200/B300 class systems), server/rack design, and data centre infrastructure Methodology/Protocols: Strong grasp of InfiniBand/RDMA networking, NVLink/NVSwitch topologies, and cluster interconnect design for distributed compute workloads Soft Skills: Confident operating at boardroom level, able to translate ...

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly ...

About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance ...