At a Glance
- 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.
- Other info: Collaborate across teams and drive impactful projects in a dynamic environment.
- 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.
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 the 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.
- 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 various scenarios.
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.
- Agent Serving Framework: Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory and long-running conversations.
- 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 to deliver AI infrastructure with industry-leading performance.
- Frontier Technology Insights: Continuously track cutting-edge developments in Serverless AI and generate structured insights.
- Cross-Team Collaboration: Serve as a Team leader, working closely with various teams to drive successful deployment of the architecture solutions.
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 Cheshire employer: Huawei R&D UK
Huawei Research and Development UK Limited is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to work on cutting-edge AI technologies in a dynamic environment. With a strong commitment to employee growth, the company offers extensive benefits including generous annual leave, private medical insurance, and a supportive learning and development programme, making it an ideal place for those looking to advance their careers while contributing to a fully connected, intelligent world.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Architect in Cheshire
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Huawei R&D UK or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Huawei R&D UK.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Huawei R&D UK.
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We think you need these skills to ace AI Infrastructure Architect in Cheshire
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Huawei R&D UK.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Huawei R&D UK and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Huawei R&D UK
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Huawei R&D UK uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
