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- Tasks: Design cutting-edge AI infrastructure for diverse workloads and enhance serverless AI capabilities.
- Company: Leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Join a team shaping the future of AI with impactful projects.
- Qualifications: Experience in AI architecture and strong problem-solving skills.
- Other info: Fast-paced environment with significant career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing.
- This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving.
- Design a heterogeneous execution framework across CPU/GPU/NPU for agent management.
Infrastructure Hybrid Architect in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Hybrid Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and infrastructure space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to AI infrastructure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and hybrid architecture. Be ready to discuss how you would design a unified AI Infra platform and tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Infrastructure Hybrid Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Infrastructure Hybrid Architect role. Highlight any relevant projects or technologies you've worked with, especially those related to AI infrastructure and serving architecture.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise in areas like CPU/GPU/NPU frameworks and serverless architectures. We want to see how you can contribute to our vision of a unified AI infrastructure platform.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI infrastructure technologies, especially those related to LLM training and inference. Brush up on your knowledge of CPU, GPU, and NPU frameworks, as well as serverless architectures, so you can confidently discuss how they apply to the role.
✨Showcase Your Design Skills
Prepare to talk about your previous experiences designing architecture platforms. Bring examples of how you've integrated orchestration and state management in past projects. This will demonstrate your ability to create a unified AI infrastructure that meets complex requirements.
✨Think About Scalability
Be ready to discuss how you would ensure scalability in your designs. Companies are looking for candidates who can think ahead and design systems that can grow with their needs, especially when it comes to composite AI workloads.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current AI infrastructure challenges and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their vision.
