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For Companies At a Glance
- Tasks: Enhance cutting-edge computing by analysing workloads and designing optimisation techniques.
- Company: Leading engineering firm in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a team making significant impacts in high-performance computing projects.
- Qualifications: Strong programming skills, GPU programming knowledge, and experience with distributed systems.
The predicted salary is between 42000 - 84000 £ per year.
A leading engineering firm based in London is seeking a Performance Engineer to enhance its cutting-edge quantitative computing capabilities. This role involves collaborating with researchers to analyse workloads, design optimisation techniques, and benchmark new hardware.
Ideal candidates will have:
- a strong programming background,
- knowledge of GPU programming,
- experience in improving performance of distributed systems.
Join a team dedicated to making significant impacts on high-performance computing projects.
Performance Engineer: Optimize Large-Scale Compute in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Engineer: Optimize Large-Scale Compute in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the performance engineering field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GPU programming and distributed systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on optimisation techniques and benchmarking methods. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in high-performance computing. Your next big opportunity could be just a click away!
We think you need these skills to ace Performance Engineer: Optimize Large-Scale Compute in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming background and any experience with GPU programming in your application. We want to see how your skills can enhance our quantitative computing capabilities!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Performance Engineer role. Mention your experience with distributed systems and any optimisation techniques you've used.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your achievements and experiences shine through without unnecessary fluff.
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 high-performance computing!
How to prepare for a job interview at Arcus Search
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in GPU programming. Be ready to discuss specific projects where you've optimised performance in distributed systems. This will show that you not only understand the theory but have practical experience too.
✨Understand the Company’s Projects
Research the engineering firm and their current projects in quantitative computing. Knowing what they’re working on will help you tailor your answers and demonstrate your genuine interest in contributing to their high-performance computing initiatives.
✨Prepare for Technical Questions
Expect to face technical questions related to workload analysis and optimisation techniques. Practise explaining complex concepts clearly and concisely, as you may need to collaborate with researchers who might not have a technical background.
✨Showcase Your Collaboration Skills
Since this role involves working closely with researchers, be prepared to discuss your teamwork experiences. Share examples of how you’ve successfully collaborated on projects, highlighting your ability to communicate effectively and contribute to a team environment.
