6 of 6 SIMD Jobs in England

asset class) - execution systems, market data infrastructure, or low-latency pricing engines FIX protocol, OMS/EMS connectivity, or direct exchange co-location experience SIMD, vectorisation, or GPU offloading for numerical workloads; eBPF for observability or network instrumentation Open-source Rust contributions, published crates, or ring-buffer/LMAX Disruptor ...

asset class) - execution systems, market data infrastructure, or low-latency pricing engines FIX protocol, OMS/EMS connectivity, or direct exchange co-location experience SIMD, vectorisation, or GPU offloading for numerical workloads; eBPF for observability or network instrumentation Open-source Rust contributions, published crates, or ring-buffer/LMAX Disruptor ...

/CPU/GPU/RISC-V environments Arithmetic logic units (ALUs) Computer arithmetic/computer science HPC - high performance computing applications FMA or SIMD algorithms Registers - flip-flops - data, address, shift, control Bus communication protocols C/C++ modelling Performance/modelling AI accelerators - VPU - vector, matrix, scalar units ...

Required Experience 15+ years of experience in GPU architecture, heterogeneous compute design, or AI accelerator development. Strong understanding of GPU execution models such as SIMD/SIMT architectures . Expertise in compute scheduling, pipeline design, and memory hierarchy optimization . Experience with tensor or matrix computation used in modern machine ...

modern graphics APIs and AI frameworks. Requirements Experience: 15+ years in GPU, AI Accelerator, or Heterogeneous Compute architecture. Technical Depth: Mastery of GPU microarchitecture (SIMD/SIMT, scheduling, memory systems) and tensor/matrix computation. Track Record: Proven success in delivering high-volume, complex SoC silicon to market. Leadership: Experience ...

Huawei Research and Development UK Limited. Required 15+ years of experience in GPU, AI accelerator, or heterogeneous compute architecture. Deep understanding of GPU microarchitecture (SIMD/SIMT, scheduling, memory systems). Strong knowledge of tensor/matrix computation and AI acceleration techniques. Proven experience delivering high-volume silicon. Expertise ...