6 of 6 Permanent SIMD Jobs in the UK

Adjoint Algorithmic Differentiation (AAD) concepts; hands‐on experience with AAD tools is highly desirable Deep practical knowledge of low‐level optimisation techniques, including SIMD intrinsics, auto‐vectorisation, cache behaviour, and memory access patterns Strong understanding of modern hardware architectures and their impact on computational performance Experience developing and optimising software ...

systems; experience with commercial or research wireless standards (e.g. LTE, 5G NR, Wi-Fi, tactical communications, satellite communications); experience with fixed-point optimisation, SIMD/vectorisation, and performance tuning on embedded processors; experience with FPGA-based signal processing workflows and hardware/software co-design; expertise in one or more ...

/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 Mathematical/statistical computations Datapaths in ML/AI accelerators #J-18808-Ljbffr ...

various workloads. Technical Expertise: Lead the development of data processing ISAs (dpISA) such as SVE (Scalable Vector Extension) , SME (Scalable Matrix Extension) , SSE (Streaming SIMD Extensions) , AVX10 , etc. Collaboration: Work closely with engineering, product management, and cross-disciplinary teams to integrate new architectural components and align designs with product needs. ...

workload characterisation, and silicon bring-up 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 in performance ...

workload characterisation, and silicon bring‐up. 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 ...