At a Glance
- Tasks: Enhance ML performance and AI acceleration platforms in a technical team.
- Company: Join XTX Markets, a leader in tech-driven finance.
- Benefits: Extensive medical coverage, daily meals, gym access, and generous holidays.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Tackle exciting challenges in AI and GPU optimisation while making a real impact.
- Qualifications: Proficiency in C/C++/Rust and knowledge of GPUs/TPUs required.
The predicted salary is between 60000 - 80000 £ per year.
XTX Markets is seeking an experienced engineer for their ML Performance and AI Acceleration function in London. You will work in a highly technical team to enhance XTX's training and inference platforms, tackling both high- and low-level challenges.
The role requires proficiency in C/C++/Rust, knowledge of GPUs and TPUs, and experience with data-flow oriented compilers.
Benefits include extensive medical coverage, daily meals, a gym, and a generous holiday policy.
ML Performance Engineer: AI Acceleration & GPU Optimisations employer: XTX Markets
XTX Markets is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee well-being, we provide extensive medical coverage, daily meals, and access to a gym, alongside a generous holiday policy that promotes work-life balance. Our commitment to professional growth ensures that team members are continually challenged and supported in their development within a highly technical and collaborative setting.
StudySmarter Expert Advice🤫
We think this is how you could land ML Performance Engineer: AI Acceleration & GPU Optimisations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at XTX Markets. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to ML performance or GPU optimisations, make sure to highlight them in conversations. We want to see your passion and expertise shine through!
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++/Rust knowledge. Practice coding challenges and be ready to discuss your thought process. We know it can be daunting, but it's all about showcasing your problem-solving skills!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace ML Performance Engineer: AI Acceleration & GPU Optimisations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C/C++/Rust and any work you've done with GPUs and TPUs. 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! Tell us why you're passionate about ML Performance and AI Acceleration. Share specific examples of how you've tackled technical challenges in the past – we love a good story!
Showcase Your Technical Skills:In your application, mention any experience you have with data-flow oriented compilers. We’re looking for someone who can dive deep into both high- and low-level challenges, so let us know what you’ve worked on!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at XTX Markets
✨Know Your Tech Inside Out
Make sure you brush up on your C/C++/Rust skills before the interview. Be ready to discuss specific projects where you've optimised performance or tackled challenges with GPUs and TPUs. The more detailed examples you can provide, the better!
✨Understand Data-Flow Compilers
Since the role involves data-flow oriented compilers, take some time to review how they work and their applications in machine learning. Being able to explain your understanding and any relevant experience will show that you're not just familiar with the theory but can apply it practically.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your problem-solving abilities. Practice coding problems related to performance optimisation and be ready to demonstrate your thought process. This is your chance to shine, so don’t hold back!
✨Show Enthusiasm for AI Acceleration
XTX Markets is looking for someone passionate about AI acceleration. Share your thoughts on current trends in AI and how you see the future of ML performance evolving. This will help you connect with the team and show that you’re genuinely interested in the field.
