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- Tasks: Join a team modelling AI workloads and simulating server performance.
- Company: Huawei Technologies, a leader in innovative tech solutions.
- 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 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 Performance Engineer: AI Workload Modelling & Simulation
✨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 and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with CPU architecture and performance analysis. This can really set us apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on C/C++ programming and performance simulation techniques. Mock interviews with friends can help us feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Performance Engineer: AI Workload Modelling & Simulation
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 application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Performance Engineer role. We love seeing candidates who take the extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity in our workload modeling 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 put it into practice.
✨Show Off Your Programming Skills
Since programming in C/C++ is a key requirement, 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 efficiently!
✨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 the role. Plus, it gives you a chance to ask insightful questions that can impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess how you would approach performance projection and simulation challenges. Think through potential problems you might face in the role and how you would tackle them. This will demonstrate your problem-solving skills and readiness for the job.