GPU Chief Architect / XPU Lab Director

Huawei; Cambridge; On-site; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Annual leave

Pension

Life insurance

Private medical

Medical expense

Employee assistance

Cycle to work

Sports & social

Learning & development

Job summary

Huawei Research and Development UK Limited seeks a seasoned GPU architect to lead the converged xPU architecture for future AI compute. You will shape a unified GPU/NPU design, optimize memory and interconnects, and collaborate across CPU, software and system teams to drive performance, power efficiency and silicon success.

With 15+ years in GPU or heterogeneous compute, you will influence architectural trade-offs, oversee tape-out readiness, and contribute to a next-generation mobile compute

Qualifications

• 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

Responsibilities

• Lead the definition and execution of converged xPU architecture for future AI compute
• Analyse future mobile graphics and AI workloads and redefine a converged GPU/NPU architecture
• Define memory hierarchy and on-chip interconnect strategies for heterogeneous compute
• Collaborate with CPU, AI software, and system teams across SoC development
• Drive performance, power and area efficiency from concept to tape-out

Skills

GPU architecture

System-level architecture

Heterogeneous compute

Graphics & AI workloads

Leadership & collaboration

Job description

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 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 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

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.

• 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

About Huawei Research and Development UK Limited

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission are to bring digital to every person, home and organisation for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between the UK and Huawei helps to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years, we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values, Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world, with 96,000+ employees in research centres around the globe. In the UK, we already have design centres in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers, researched new network architectures, integration of communications and key enabling technologies, and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.

Job Summary

• We are seeking a highly experienced GPU architect to lead the definition and execution of 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