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- Tasks: Design and build cutting-edge AI infrastructure for transformative projects.
- Company: Join Huawei, a global leader in ICT with a focus on innovation.
- Benefits: Enjoy 33 days of leave, private medical insurance, and a pension scheme.
- Why this job: Shape the future of AI while working with top-tier technology and experts.
- Qualifications: Strong knowledge in system architecture and experience with serverless/cloud-native technologies.
- Other info: Collaborate across teams in a dynamic environment with excellent growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
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 is to bring digital to every person, home and organization for a fully connected, intelligent world.
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. The partnership between UK and Huawei helps to develop the technologies of the future that will transform the way we all communicate, work and live.
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 centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich.
In an era where computing power is evolving toward full intelligence, AI training and inference are driving a comprehensive reconstruction of the foundational software stack. With the launch of Huawei CloudMatrix super-node clusters, the architectures for AI model training, inference, and agent systems are undergoing unprecedented transformation.
In this role, you will help define and build:
- AI-native Runtime and Serving framework: Redesign inference execution paths, orchestration logic, model lifecycle and data flows to fully exploit super-node hardware features such as memory pooling and fully interconnected high-speed fabrics.
- Agentic AI core infrastructure: Provides base-level state management, KV-Cache system, and efficient retrieval capabilities for agent memory, tool calling, workflow execution, and multi-agent collaboration.
- Next-generation serverless AI: Implements Function-as-a-Service (FaaS) Inference, near instantaneous scaling, multi-model hybrid loading, cold start optimization, and peak throughput mode on the unified Runtime.
- Performance and cost engineering at ultra scale: Deliver industry-leading performance, latency, and cost efficiency under scenarios such as billion-level QPS, multi-model sharing/co-hosting, and multi-tenant isolation.
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.
Key Responsibilities:
- Architecture Planning: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing.
- Agent Serving Framework: Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations and tasks.
- Serverless AI Foundation Design: Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation.
- Performance and Cost Optimization: Leverage Huawei's self-developed hardware stack and End–Edge–Cloud co-optimization.
- Frontier Technology Insights: Continuously track cutting-edge developments in Serverless AI, LLM Serving, and Agentic AI.
- Cross-Team Collaboration: Serve as a Team leader, working closely with accelerator, operating system, cloud platform, and AI application teams.
Person Specification:
Required:
- Strong foundational knowledge in system architecture.
- Serverless & Cloud-Native experience.
- Expertise in AI Serving.
- Experience in Agentic AI domains.
- Performance analysis and optimization skills.
- Programming and engineering capabilities.
- Communication and architectural articulation skills.
Desired:
- Experience in production deployment of LLM Serving/Agent/Serverless platforms.
- Significant technical achievements or peer-reviewed publications.
- Experience in leading teams to deliver architectural implementations.
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.
AI Infrastructure Architect in Edinburgh employer: Huawei R&D UK
Contact Detail:
Huawei R&D UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architect in Edinburgh
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI infrastructure roles. Think about how you would tackle challenges mentioned in the job description and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Huawei.
We think you need these skills to ace AI Infrastructure Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Infrastructure Architect role. Highlight relevant experience and skills that align with the job description, especially in system architecture and AI serving technologies.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and how your background makes you a great fit for Huawei. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t shy away from detailing your technical skills! Mention your proficiency in programming languages and any hands-on experience with serverless architectures or AI frameworks that are relevant to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Huawei R&D UK
✨Know Your AI Infrastructure
Make sure you brush up on your knowledge of AI infrastructure, especially around serverless architectures and LLM serving technologies. Be ready to discuss how you would approach designing a unified AI Infra & Serving architecture, as this will show your understanding of the role's core responsibilities.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to performance optimisation and cost efficiency. Think about how you would handle trade-offs under hardware constraints or bandwidth bottlenecks. This will demonstrate your analytical thinking and ability to innovate in challenging situations.
✨Highlight Cross-Team Collaboration
Since this role involves working closely with various teams, be prepared to share examples of past experiences where you successfully collaborated across different departments. Emphasise your communication skills and how you can articulate complex architectural solutions clearly.
✨Stay Updated on Frontier Technologies
Keep yourself informed about the latest developments in serverless AI and agentic AI. Mention any recent trends or technologies you've explored, as this shows your passion for continuous learning and your commitment to driving innovation in the field.
