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- Tasks: Manage and optimise GPU clusters for AI model training and inference.
- Company: Join Kraken, a leader in AI Compute and Infrastructure.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with diverse technical teams.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: 5+ years in infrastructure engineering with a focus on GPU compute.
The predicted salary is between 60000 - 84000 £ per year.
Kraken is seeking a GPU Infrastructure Engineer to join its dedicated AI Compute and Infrastructure team in Greater London. This role involves managing and optimizing GPU clusters for AI model training and inference, ensuring reliability and cost efficiency.
Candidates should have over 5 years of experience in infrastructure engineering, focusing on GPU compute and distributed systems, with strong systems engineering fundamentals.
The position offers the chance to work directly with various technical teams to realize Kraken's AI ambitions.
Senior AI Compute & GPU Infrastructure Engineer employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Compute & GPU Infrastructure Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and GPU space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to GPU infrastructure. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your systems engineering fundamentals. We recommend practicing common interview questions and even doing mock interviews with friends.
✨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 Senior AI Compute & GPU Infrastructure Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU compute and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: In your application, be specific about the technologies and tools you’ve worked with. We love seeing hands-on experience, especially with GPU clusters and AI model training. Let us know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Kraken
✨Know Your GPUs Inside Out
Make sure you brush up on your knowledge of GPU architectures and their applications in AI. Be ready to discuss specific projects where you've optimised GPU clusters, as this will show your hands-on experience and technical depth.
✨Demonstrate Systems Engineering Skills
Prepare to talk about your experience with distributed systems and how you've tackled challenges in infrastructure engineering. Have examples ready that highlight your problem-solving skills and your ability to ensure reliability and cost efficiency.
✨Collaborate Like a Pro
Since the role involves working with various technical teams, think of examples where you've successfully collaborated across departments. Show how you can communicate complex technical concepts clearly to non-technical stakeholders.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI and GPU technology. Being able to discuss current advancements and how they could impact Kraken's AI ambitions will demonstrate your passion for the field and your forward-thinking mindset.