At a Glance
- Tasks: Lead the design of next-gen mobile GPU architecture and drive innovative xPU systems.
- Company: Join a cutting-edge tech company focused on AI and mobile computing.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and a supportive work environment.
- Other info: Collaborative culture with opportunities for learning and development.
- Why this job: Shape the future of mobile graphics and AI with your expertise in a dynamic team.
- Qualifications: 15+ years in GPU architecture and strong leadership skills required.
The predicted salary is between 100000 - 150000 £ per year.
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/mm²).
- Provide architectural leadership from concept phase through tape out.
Memory & Interconnect Architecture
- Define a memory hierarchy strategy for converged GPU/NPU workloads.
- 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.
GPU Chief Architect / XPU Lab Director in Cambridge employer: Job Search Place Limited
Join a forward-thinking company that values innovation and excellence in the tech industry, particularly in the dynamic field of mobile GPU architecture. With a strong commitment to employee well-being, we offer an impressive 33 days of annual leave, comprehensive health benefits, and opportunities for professional growth through additional learning time. Our collaborative work culture fosters creativity and teamwork, making it an ideal environment for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land GPU Chief Architect / XPU Lab Director in Cambridge
✨Tip Number 1
Network like a pro! Reach out to industry contacts, attend relevant meetups, and engage in online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your projects and achievements. This is your chance to shine and demonstrate your skills beyond the CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to GPU architecture. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GPU Chief Architect / XPU Lab Director in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in GPU architecture and related fields. Use keywords from the job description to show that you understand what we're looking for.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your past work that align with our needs, especially around mobile GPU architecture and AI workloads.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Highlight any successful projects or innovations you've led in GPU or NPU architecture that demonstrate your expertise and leadership.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Architecture Inside Out
Make sure you have a deep understanding of GPU microarchitecture and the latest trends in AI acceleration. Brush up on your knowledge of SIMD/SIMT, scheduling, and memory systems. Being able to discuss these topics confidently will show that you're not just familiar with the concepts but can also lead architectural discussions.
✨Showcase Your Experience
Prepare to discuss your past projects where you've delivered high volume silicon or led GPU architecture initiatives. Use specific examples to illustrate your achievements and how they relate to the role. This will help the interviewers see your proven track record in action.
✨Understand the Bigger Picture
Familiarise yourself with the convergence of GPU and NPU architectures. Be ready to talk about how you would approach redefining an xPU architecture and the trade-offs involved. This shows that you can think strategically and understand the implications of architectural decisions.
✨Collaborate and Communicate
Highlight your cross-functional communication skills. Be prepared to discuss how you've collaborated with different teams in the past, such as CPU, AI software, and system architecture teams. This is crucial for ensuring that everyone is aligned and working towards the same goals.
