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- Tasks: Design and manage Kubernetes clusters for AI training and inference.
- Company: Perplexity, a forward-thinking company focused on AI infrastructure.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and problem-solving.
- Why this job: Join us to shape the future of AI with cutting-edge technology.
- Qualifications: Expertise in Kubernetes, Slurm, and distributed ML training required.
The predicted salary is between 60000 - 80000 £ per year.
Perplexity is seeking an AI Infra Engineer to enhance our AI infrastructure. The role involves designing and managing Kubernetes clusters for training and inference as well as optimizing Slurm-based HPC settings.
Ideal candidates should have expertise in:
- Kubernetes administration
- Slurm workload management
- Experience with distributed training of ML models
This position requires strong problem-solving abilities and experience in maintaining high uptime for AI training and services.
AI Infra Engineer: Scalable Kubernetes & Slurm in London employer: Perplexity
Contact Detail:
Perplexity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Engineer: Scalable Kubernetes & Slurm in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Kubernetes communities. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Kubernetes and Slurm. Whether it’s a GitHub repo or a personal website, let us see what you can do. This is your chance to shine and demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to Kubernetes administration and Slurm workload management. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on the chance to join our team!
We think you need these skills to ace AI Infra Engineer: Scalable Kubernetes & Slurm in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and Slurm. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI infrastructure and how your skills align with our needs. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've solved complex problems in previous roles. We’re looking for candidates who can think on their feet and keep our AI services running smoothly.
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 Perplexity
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience with cluster management, scaling, and troubleshooting. They’ll likely want to hear about specific challenges you've faced and how you resolved them.
✨Slurm Workload Management Mastery
Since this role involves optimising Slurm-based HPC settings, be prepared to dive deep into your Slurm experience. Think of examples where you’ve effectively managed workloads or improved efficiency. Showing that you can maintain high uptime will definitely impress them.
✨Showcase Your Problem-Solving Skills
This position requires strong problem-solving abilities, so come armed with examples of complex issues you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
✨Prepare Questions That Matter
Interviews are a two-way street, so prepare thoughtful questions about their AI infrastructure and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Ask about their current challenges with Kubernetes or Slurm to spark a meaningful conversation.