GPU Chief Architect / XPU Lab Director

We are seeking a highly experienced GPU architect to lead the definition and execution of next‑generation mobile GPU architecture in our Kirin SOC, while driving architectural convergence between GPU and NPU toward a coherent xPU sub‑system design. This role requires deep expertise in GPU microarchitecture, strong system‑level architectural capability including both hardware and software, and a thorough understanding of graphics and AI common workloads. A proven track record of delivering related sub‑system IP or complex SoC silicon is highly desirable. The successful candidate will lead the effort in shaping a converged xPU architecture native for future AI compute, optimised for performance, power efficiency, and silicon area in the next‑generation mobile compute platforms.

Key Responsibilities

• xPU Converged Architecture Design

• Analyse and characterise future mobile graphics and AI workload, redefine an xPU (GPU & NPU) converged architecture, including hardware and software, from the ground up.
• 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.
• 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.

• Define a memory hierarchy strategy for converged GPU/NPU workloads.
• Architect shared cache structures and bandwidth arbitration policies.

• Collaborate with CPU, AI software, runtime, and system architecture teams.
• Participate in SoC‑level power, thermal, and floor‑planning trade‑offs.
• Align hardware architecture with graphics APIs and AI frameworks.
• Support performance modelling, workload characterisation, and silicon bring‑up.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Required Qualifications

• 20+ 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.
• Expertise in performance modelling and power analysis.
• Strong cross‑functional communication and leadership capability.

What we offer

• 33 days annual leave entitlement per year (including UK public holidays).
• Life insurance.
• Private medical insurance.
• Employee Assistance Program.
• Cycle to work scheme.
• Company sports club and social events.
• Additional time off for learning and development.