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- Tasks: Join a team to model and simulate AI workloads on cutting-edge technology.
- Company: Leading global provider of innovative technology solutions.
- Benefits: Competitive salary, collaborative environment, and excellent career growth.
- Why this job: Make an impact in AI performance engineering and work with the latest tech.
- Qualifications: Strong understanding of CPU architecture and proficiency in C/C++.
- Other info: Dynamic team atmosphere focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading global provider of technology solutions is seeking a motivated Performance Engineer to join their workload modelling team in Cambridge. In this role, you will work on cutting-edge projects involving performance projection and architectural studies focusing on server CPUs and AI workloads.
A strong understanding of CPU architecture, proficiency in C/C++, and experience with performance analysis tools are essential. The position offers competitive benefits and a collaborative environment for innovation.
Performance Engineer: AI Workload Modelling and Simulation in Cambridge 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 and Simulation in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Performance Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to CPU architecture and AI workloads. We want to see your C/C++ prowess and how you've tackled performance analysis in real-world scenarios.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of server CPUs and performance projection techniques. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Performance Engineer: AI Workload Modelling and Simulation in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with CPU architecture and performance analysis tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI workloads and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since proficiency in C/C++ is key, make sure to mention any relevant projects or experiences where you’ve used these languages. We love seeing practical examples of your work, so don’t hold back!
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 CPUs
Make sure you brush up on your understanding of CPU architecture. Be ready to discuss how different architectures can impact performance, especially in relation to AI workloads. This will show that you’re not just familiar with the theory but can apply it practically.
✨Show Off Your Coding Skills
Since proficiency in C/C++ is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Being able to articulate your thought process while coding can really impress the interviewers.
✨Familiarise Yourself with Performance Tools
Research and get hands-on experience with performance analysis tools relevant to the role. Be prepared to discuss any tools you've used in the past and how they helped you optimise workloads. This shows that you have practical experience and can hit the ground running.
✨Prepare Questions About Innovation
Since the role involves working in a collaborative environment for innovation, think of insightful questions to ask about the team’s current projects or future directions. This demonstrates your genuine interest in the company and its goals, making you a more attractive candidate.
