At a Glance
- Tasks: Manage cutting-edge GPU server clusters for AI workloads and optimise complex systems.
- Company: Join CommonAI CIC, a non-profit driving collaborative AI innovation.
- Benefits: Competitive salary, pension, professional development, and networking opportunities.
- Other info: Enjoy a vibrant office near Cambridge station and a supportive team culture.
- Why this job: Make a real impact in AI while working with the latest technology.
- Qualifications: Experience in system administration, HPC, and advanced Linux skills required.
The predicted salary is between 63000 - 77000 £ per year.
Common AI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies.
A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
The Opportunity We are seeking a highly skilled Senior AI Systems Administrator to join our rapidly growing engineering team.
You will provision and maintain multi-rack GPU server clusters designed for both inference and training workloads.
This role is perfect for a hands-on engineer who thrives on the intersection of cutting-edge high-end hardware and complex software orchestration.
You will be given access to cutting edge AI tooling and we encourage our employees to make full use of the latest technology to find innovative and new ways of working.
You should be able to demonstrate: Significant experience working as a System Administrator, HPC Engineer, MLOps Engineer or equivalent technical role Modern GPU server deployment, tuning and management Advanced networking technologies (Infiniband, RDMA, Ro CE) Advanced Linux skills and experience working with servers running hypervisors/VMs and multiple distributions (e. g.
Ubuntu, RHEL) Expertise in source code management (e. g.
Git) and infrastructure-as-code tools (e. g.
Terraform, Open Tofu) A strong understanding of network design and switch/router/firewall configuration The desire to work collaboratively with users and other stakeholders to iteratively optimise systems Experience with any or all of the following will also be highly valued: High-performance or high-availability storage servers/clusters (Lustre, Ceph, Weka, PEAK: AIO) HPC workload managers (Slurm, LSF) Proficiency in scripting (e. g.
Python) Our infrastructure is used for research and development.
Support will generally only be required during UK business hours however major maintenance may occasionally be scheduled for weekends.
A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation Competitive salary package, including pension and benefits Professional development opportunities Networking opportunities with influential figures from across the tech sector and academia A vibrant office environment located a few minutes’ walk away from Cambridge train station Common AI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr
Senior AI Systems Administrator: GPU & HPC Cluster Lead employer: CommonAI C.I.C.
CommonAI is an exceptional employer, offering a collaborative and supportive engineering environment where your contributions directly influence groundbreaking AI and cloud infrastructure products. Located in Cambridge, just minutes from the railway station, we provide competitive salaries, stock options, and professional development opportunities, all while fostering a culture that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Systems Administrator: GPU & HPC Cluster Lead
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CommonAI C.I.C. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CommonAI C.I.C..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CommonAI C.I.C..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CommonAI C.I.C. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Systems Administrator: GPU & HPC Cluster Lead
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 CommonAI C.I.C..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CommonAI C.I.C. 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 CommonAI C.I.C.
✨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 CommonAI C.I.C. 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.
