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GPU Chief Architect / XPU Lab Director

Huawei R&D UK

Cambridge8mo ago
Seniority
Lead

About the role

  • staying customer-centric,

  • inspiring dedication,

  • persevering,

  • Growing by reflection

  • Based on 1st order principle, analyse and characterise future mobile graphics and AI workload, redefine an xPU (GPU & NPU) converged architecture, including hardware and software, from the ground up that is optimal for future applications.

  • Ensure compatibility or easy transition from the old architecture.

  • Define unified or partially unified execution resources (vector, scalar, tensor units)

  • Develop shared scheduling and workload dispatch mechanisms for graphics and AI

  • Design resource sharing and isolation strategies under mixed workloads

  • Evaluate architectural trade-offs between dedicated and converged compute blocks

  • Mobile GPU Architecture Leadership

  • Ensure the timely delivery of next-generation mobile GPU architecture and long-term roadmap

  • Lead evolution of shader cores, execution pipelines, and cache hierarchy

  • Drive performance, power efficiency (Perf/W), and area efficiency (Perf/mm²)

  • Provide architectural leadership from concept phase through tape-out

  • Memory & Interconnect Architecture

  • Define a memory hierarchy strategy for converged GPU/NPU workloads

  • The architect shared cache structures and bandwidth arbitration policies

  • Optimise on-chip interconnect for heterogeneous compute traffic

  • Reduce data movement overhead across compute domains

  • System-Level Architecture Collaboration

  • Collaborate with CPU, AI software, runtime, and system architecture teams

  • Participate in SoC-level power, thermal, and floorplanning trade-offs

  • Align hardware architecture with graphics APIs and AI frameworks

  • Support performance modelling, workload characterisation, and silicon bring-up

  • 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 modelling and power analysis

  • Strong cross-functional communication and leadership capability

  • 33 days annual leave entitlement per year (including UK public holidays)

  • Group Personal Pension

  • Life insurance

  • Private medical insurance

  • Medical expense claim scheme

  • Employee Assistance Program

  • Cycle to work scheme

  • Company sports club and social events

  • Additional time off for learning and development

Perks & benefits

  • Medical Insurance

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