Site Reliability Engineer, GPUs in AI in Slough

Site Reliability Engineer, GPUs in AI in Slough

Slough Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Radley James

At a Glance

  • Tasks: Manage high-performance GPU clusters and ensure system reliability for cutting-edge AI projects.
  • Company: Exciting AI firm with a team from top tech companies like DeepMind and OpenAI.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a pioneering team and shape the future of AI technology with your expertise.
  • Qualifications: 6 years in high-performance fields and experience with large GPU clusters.

The predicted salary is between 80000 - 100000 £ per year.

We are recruiting for a young AI firm that has sprung out of the US but is growing in London. The team of engineers and researchers come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic etc. They are looking for a Senior Systems Engineer to focus on cluster management, platform engineering that handles high number of GPUs (their range currently is in the 20k-40k), monitoring/reliability and work on infrastructure for next-generation GPU deployments.

Requirements:

  • 6 years experience in a high performance field like AI, big tech, or quantitative trading
  • Experience of working on clusters of 1000 GPUs or higher
  • Experience of driving key projects in your team or business

Site Reliability Engineer, GPUs in AI in Slough employer: Radley James

Join a dynamic and innovative AI firm that is rapidly expanding in London, where you'll collaborate with top-tier engineers and researchers from leading tech companies. We offer a vibrant work culture that fosters creativity and collaboration, alongside ample opportunities for professional growth and development in the cutting-edge field of AI. With access to state-of-the-art technology and a focus on next-generation GPU deployments, this is an exciting opportunity to make a meaningful impact in a fast-paced environment.

Radley James

Contact Details:

Radley James Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Site Reliability Engineer, GPUs in AI in Slough

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Site Reliability Engineer, GPUs in AI in Slough

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Radley James.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Radley James and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Radley James

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Radley James uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.