Job Summary
We are seeking a highly experienced GPU architect to lead the definition and execution of next generation mobile GPU architecture in our Kirin SOC, 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 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 shape a converged xPU architecture native for future AI compute, optimized for performance, power efficiency, and silicon area in next generation mobile compute platforms.
Key Responsibilities
* Analyze and characterize future mobile graphics and AI workloads, 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/mm ).
* 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.
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 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).
* 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.
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