Performance Engineer: AI Workload Modelling & Simulation in Cambridge
Performance Engineer: AI Workload Modelling & Simulation

Performance Engineer: AI Workload Modelling & Simulation in Cambridge

Cambridge Full-Time 50000 - 70000 £ / year (est.) No home office possible
Huawei Technologies Research & Development (UK) Ltd

At a Glance

  • Tasks: Join a team modelling AI workloads and simulating server performance.
  • Company: Huawei Technologies, a leader in tech innovation.
  • Benefits: 33 days annual leave, pension scheme, and private medical insurance.
  • Other info: Exciting projects in a dynamic environment with growth opportunities.
  • Why this job: Be at the forefront of AI technology and make a real impact.
  • Qualifications: Strong knowledge of CPU architecture and programming in C/C++.

The predicted salary is between 50000 - 70000 £ per year.

Huawei Technologies Research & Development (UK) Ltd is looking for a motivated Performance Engineer to join the workload modeling team in Cambridge, UK. You will work on pioneering projects that involve performance projection and simulation of server CPUs and NPUs.

The ideal candidate will possess a strong grasp of CPU architecture, performance analysis techniques, and programming skills in C/C++.

Benefits include 33 days of annual leave, a group pension scheme, and private medical insurance.

Performance Engineer: AI Workload Modelling & Simulation in Cambridge employer: Huawei Technologies Research & Development (UK) Ltd

Huawei Technologies Research & Development (UK) Ltd offers an exceptional work environment in Cambridge, where innovation meets collaboration. As a Performance Engineer, you will be part of a dynamic team working on cutting-edge projects, with ample opportunities for professional growth and development. Enjoy generous benefits such as 33 days of annual leave, a group pension scheme, and private medical insurance, all while contributing to pioneering advancements in AI workload modelling and simulation.
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 Performance Engineer: AI Workload Modelling & Simulation in Cambridge

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Huawei on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!

✨Tip Number 2

Prepare for technical interviews by brushing up on your CPU architecture knowledge and performance analysis techniques. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.

✨Tip Number 3

Showcase your programming skills in C/C++ through personal projects or contributions to open-source. This not only demonstrates your expertise but also gives us something tangible to discuss during interviews.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.

We think you need these skills to ace Performance Engineer: AI Workload Modelling & Simulation in Cambridge

Performance Projection
Simulation Techniques
CPU Architecture
Performance Analysis Techniques
Programming Skills in C/C++
Workload Modelling
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your programming skills in C/C++ and any experience you have with CPU architecture. We want to see how your background aligns with the performance analysis techniques we use!

Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Performance Engineer role. We love seeing candidates who take the time to connect their experiences to our projects.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right team!

How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd

✨Know Your CPUs and NPUs

Make sure you brush up on your knowledge of CPU architecture and performance analysis techniques. Be ready to discuss specific projects or experiences where you've applied these concepts, as it shows you're not just familiar with the theory but can also apply it in practice.

✨Show Off Your Programming Skills

Since programming in C/C++ is a key part of the role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. It’s all about showing you can think critically and code effectively!

✨Research Huawei's Projects

Dive into Huawei's recent projects related to workload modelling and simulation. Understanding their current work will help you tailor your answers and show genuine interest in what they do. Plus, it gives you a chance to ask insightful questions during the interview.

✨Prepare for Behavioural Questions

Expect some behavioural questions that assess how you handle challenges and work in a team. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you convey your experiences clearly and effectively.

Performance Engineer: AI Workload Modelling & Simulation in Cambridge
Huawei Technologies Research & Development (UK) Ltd
Location: Cambridge

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