Overview
We are seeking a highly experienced GPU architect to lead the definition and execution of next-generation mobile GPU architecture, 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 hardware and software, and a thorough understanding in graphics and AI common workload. 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 — Based on first principles, analyse and characterise 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/mm²).
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