At a Glance
- Tasks: Lead innovative research for AI infrastructure and architect scalable components.
- Company: Join a leading European tech firm with a global R&D footprint.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting challenges and career advancement.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Strong skills in C/C++, Python, and experience with LLM serving frameworks.
The predicted salary is between 60000 - 80000 € per year.
European Tech Recruit is looking for a Systems Research Engineer in Edinburgh to lead cutting-edge research for AI infrastructure. This hybrid role involves architecting scalable components for CPU, GPU, and NPU clusters, and optimizing frameworks for high throughput and low latency.
The ideal candidate will have a strong background in C/C++, Python, and experience with LLM serving frameworks. Joining our team means impacting one of the largest R&D footprints globally within a collaborative environment.
Systems Research Engineer: AI Infra for Massive Clusters employer: European Tech Recruit
At European Tech Recruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of Edinburgh. Our commitment to employee growth is evident through continuous learning opportunities and involvement in groundbreaking research that shapes the future of AI infrastructure. With competitive benefits and a focus on work-life balance, we offer a rewarding environment for those looking to make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Research Engineer: AI Infra for Massive Clusters
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your expertise in C/C++, Python, and LLM frameworks.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’d architect scalable components for AI infrastructure. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our collaborative environment.
We think you need these skills to ace Systems Research Engineer: AI Infra for Massive Clusters
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C/C++, Python, and any relevant LLM serving frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any projects related to scalable components or optimising frameworks, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions that highlight your contributions.
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. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at European Tech Recruit
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of C/C++ and Python, as well as any LLM serving frameworks. Be ready to discuss specific projects where you've used these technologies, and think about how they relate to the role of architecting scalable components for AI infrastructure.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples from your past experiences where you optimised systems for high throughput and low latency. This will demonstrate your ability to think critically and innovate in a collaborative environment.
✨Understand the Company’s Vision
Research European Tech Recruit and their impact on AI infrastructure. Familiarise yourself with their projects and values, so you can align your answers with their goals. Showing that you understand their mission will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future directions of the company. This not only shows your interest but also helps you gauge if the company culture is the right fit for you. Remember, interviews are a two-way street!
