InfiniBand Jobs in London

4 of 4 InfiniBand Jobs in London

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon (London)

London, UK
Hybrid / WFH Options
Canonical
Experience with Linux virtualization, networking or graphics stacks Experience with one or more of the follow Experience with Docker/OCI containers/K8s ing technologies: confidential computing, RDMA, Infiniband and high performance computing. Performance engineering, benchmarking and profiling What We Offer You We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more More ❯
Employment Type: Full-time
Posted:

Solutions Engineer AI Service Provider - UK

London, United Kingdom
Hybrid / WFH Options
Cisco Systems, Inc
PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc). Excellent presentation skills - ability to value-sell and deliver engaging workshops to both technical and non More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Staff Software Engineer, AI Reliability Engineering

London, United Kingdom
Hybrid / WFH Options
Menlo Ventures
Staff Software Engineer, AI Reliability Engineering London, UK About Anthropic Anthropic'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 More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Performance Engineer (London)

Highgate, Greater London, UK
Jane Street
CUTLASS, CUB, Thrust, cuDNN and 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 supporting distributed GPU training in More ❯
Employment Type: Full-time
Posted: