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- Tasks: Drive the development of analytical models for cutting-edge optical compute systems.
- Company: Leading technology company in Greater London with a focus on innovation.
- Benefits: Competitive salary and comprehensive benefits package.
- Why this job: Shape the future of technology while collaborating with top engineering teams.
- Qualifications: 7+ years of modelling experience, strong C++ and Python skills, and knowledge of computer architecture.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in Greater London is looking for a Staff Performance Modelling Engineer to drive the development of analytical models that shape their optical compute systems. You will collaborate closely with engineering teams, design functional and cycle-accurate simulators, and contribute to critical architecture decisions.
Ideal candidates will bring:
- 7+ years of modeling experience
- Strong skills in C++ and Python
- A solid understanding of computer architecture
Competitive salary and benefits included.
Senior Performance Modelling Engineer - Hardware/ML in London employer: Flux Computing
Contact Detail:
Flux Computing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Performance Modelling Engineer - Hardware/ML in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your modelling experience, especially in C++ and Python. This will help us stand out during interviews and showcase our expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of computer architecture and performance modelling. We can even do mock interviews together to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring team is looking for, so don’t miss out!
We think you need these skills to ace Senior Performance Modelling Engineer - Hardware/ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of modelling experience and showcases your skills in C++ and Python. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about performance modelling and how you can contribute to our optical compute systems. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since you'll be working closely with engineering teams, highlight any past experiences where you've successfully collaborated on projects. We love team players who can communicate effectively and drive results together!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Flux Computing
✨Know Your Modelling Inside Out
Make sure you brush up on your performance modelling skills, especially in relation to optical compute systems. Be ready to discuss your past projects and how you've used C++ and Python to develop analytical models. This will show that you not only have the experience but also the passion for the field.
✨Understand the Company’s Tech Stack
Research the technology company and their specific products or systems. Familiarise yourself with their approach to computer architecture and any recent developments in optical computing. This knowledge will help you tailor your answers and demonstrate your genuine interest in their work.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of cycle-accurate simulators and functional design. Practice explaining complex concepts clearly and concisely, as this will be crucial when collaborating with engineering teams. Use examples from your previous experience to illustrate your points.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineering teams, be prepared to discuss how you've successfully collaborated in the past. Share specific examples of how you contributed to team projects and made critical architecture decisions. This will highlight your ability to work well in a team environment.
