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- Tasks: Architect and optimise distributed systems for AI workloads and large-scale inference.
- Company: Leading UK tech company at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in Computer Science or related field with experience in distributed systems.
- Other info: Collaborative environment with a focus on cutting-edge research.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the UK seeks a skilled individual for a role in distributed systems research and development.
Responsibilities include:
- Architecting distributed system components for AI workloads
- Optimizing performance and profiling large-scale inference pipelines
- Developing scalable serving infrastructures
The ideal candidate holds a degree in Computer Science or related field, possesses strong knowledge of distributed systems, and has hands-on experience with LLM serving frameworks. Collaborative skills and technical communication are essential for this position.
Distributed AI Systems Research Engineer in Edinburgh employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distributed AI Systems Research Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the distributed systems field on LinkedIn or at tech meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to distributed systems and AI workloads. This gives us a chance to see your hands-on experience and technical prowess in action.
✨Tip Number 3
Prepare for interviews by brushing up on your collaborative skills. Practice explaining complex concepts in simple terms, as clear communication is key in tech roles. We want to see how well you can share your knowledge!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Distributed AI Systems Research Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed systems and AI workloads. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about distributed systems and how your background makes you a great fit for our team. Let us know what excites you about this role!
Showcase Your Collaborative Skills: Since collaboration is key in our work environment, make sure to mention any team projects or experiences where you’ve successfully communicated technical concepts. We love seeing how you work with others!
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’s super easy!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Distributed Systems
Make sure you brush up on your knowledge of distributed systems before the interview. Be ready to discuss specific architectures and frameworks you've worked with, especially in relation to AI workloads. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would optimise performance or profile large-scale inference pipelines. Practising these scenarios can help you articulate your thought process clearly and demonstrate your problem-solving abilities.
✨Communicate Effectively
Since collaborative skills and technical communication are key for this role, practice explaining complex concepts in simple terms. You might be asked to explain your previous projects or ideas, so being able to communicate clearly will set you apart from other candidates.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects in distributed systems or their approach to AI workloads. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
