At a Glance
- Tasks: Enhance efficiency of large-scale computing operations and develop optimisation techniques.
- Company: Leading research and engineering firm based in London.
- Benefits: Innovative work environment with opportunities for professional growth.
- Why this job: Make a real impact by solving computational challenges in a high-impact research setting.
- Qualifications: Background in computer science, performance optimisation experience, and strong programming skills.
- Other info: Join a team that values innovation and measurement.
The predicted salary is between 48000 - 72000 £ per year.
A leading research and engineering firm based in London is looking for a Performance Engineer to enhance the efficiency of large-scale computing operations. This role involves close collaboration with researchers to identify and address computational challenges, developing optimisation techniques across software and hardware.
Ideal candidates will have a background in computer science, experience in performance optimisation, and strong programming skills. Join a team that values innovation and measurement in a high-impact research environment.
Senior Compute Performance Engineer in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Compute Performance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of performance engineering 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 past projects related to performance optimisation. This gives potential employers a tangible sense of what you can bring to their team.
✨Tip Number 3
Prepare for those interviews! Research common questions for performance engineers and practice your answers. We want you to feel confident discussing your experience and how you tackle computational challenges.
✨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 Senior Compute Performance Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in performance optimisation and programming skills. We want to see how your background aligns with the role of a Senior Compute Performance Engineer, so don’t hold back on 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 enhancing computing operations and how your skills can contribute to our innovative team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled computational challenges. We’re looking for candidates who can think critically and develop effective optimisation techniques, so share those success stories!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Arcus Search
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills and performance optimisation techniques. Be ready to discuss specific projects where you've tackled computational challenges, as this will show your hands-on experience and problem-solving abilities.
✨Research the Company
Dive into the firm's recent projects and innovations. Understanding their work will not only help you answer questions more effectively but also allow you to ask insightful questions that demonstrate your genuine interest in their mission and values.
✨Prepare for Technical Questions
Expect to face technical questions related to large-scale computing operations. Practise explaining complex concepts clearly and concisely, as you'll need to communicate effectively with both researchers and engineers during your role.
✨Showcase Your Collaborative Spirit
Since the role involves close collaboration with researchers, be prepared to share examples of how you've successfully worked in teams. Highlight your ability to listen, adapt, and contribute to a shared goal, as this is crucial in a high-impact research environment.