At a Glance
- Tasks: Enhance ML performance and AI acceleration through complex algorithmic challenges.
- Company: XTX Markets, a leading trading firm in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Innovative culture with a focus on cutting-edge technology.
- Why this job: Join a small, technical team and tackle exciting challenges in advanced computing.
- Qualifications: Strong skills in C/C++/Rust and experience with GPUs or TPUs required.
The predicted salary is between 60000 - 80000 £ per year.
XTX Markets, a leading trading firm in London, is seeking an experienced engineer for its ML Performance and AI Acceleration function. The successful candidate will join a small, highly technical team to enhance the performance of training and inference platforms.
This role involves complex algorithmic challenges and optimizing compilers for advanced computing hardware. Candidates should possess strong skills in C/C++/Rust and have experience with GPUs, TPUs, or data-flow oriented compilers.
The position offers exciting challenges and an innovative work environment.
AI Hardware Acceleration Engineer for ML Performance employer: XTX Markets
XTX Markets is an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. With a focus on cutting-edge technology and complex algorithmic challenges, employees are provided with ample opportunities for professional growth and development within a highly skilled team. The firm values creativity and offers a dynamic work environment where engineers can thrive and make a meaningful impact in the field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Hardware Acceleration Engineer for ML Performance
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at XTX Markets. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve worked on any cool projects related to AI acceleration or optimising compilers, make sure to discuss them during interviews. Real-world examples can really set you apart.
✨Tip Number 3
Prepare for technical challenges! Brush up on your C/C++/Rust skills and be ready to tackle some algorithmic problems. Practising coding challenges can help you feel more confident.
✨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 take that extra step!
We think you need these skills to ace AI Hardware Acceleration Engineer for ML Performance
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 or 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! Use it to explain why you're excited about the AI Hardware Acceleration Engineer role and how your background makes you a perfect fit for our team at XTX Markets.
Showcase Problem-Solving Skills:Since this role involves tackling complex algorithmic challenges, include examples in your application that demonstrate your problem-solving abilities. We love seeing how you approach tough situations!
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 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 algorithms or worked with GPUs or TPUs. This will show that you not only understand the theory but can apply it practically.
✨Prepare for Algorithmic Challenges
Since the role involves complex algorithmic challenges, practice solving problems related to machine learning performance and hardware acceleration. Websites like LeetCode or HackerRank can be great for this. Being able to think on your feet during technical questions will impress the interviewers.
✨Show Your Passion for Innovation
XTX Markets values innovation, so come prepared to discuss any cutting-edge projects or technologies you're excited about. Share your thoughts on future trends in AI and ML acceleration, and how you see yourself contributing to the team’s success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the team’s current projects or challenges they face in optimising compilers. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
