At a Glance
- Tasks: Build and operate cutting-edge supercomputing infrastructure for groundbreaking AI research.
- Company: Join the Bristol Centre for Supercomputing, home to the UK's most powerful supercomputer.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Open-ended contract until August 2030 with a supportive and inclusive work environment.
- Why this job: Make a real impact in AI research while collaborating with world-class experts.
- Qualifications: Degree in computer science or related field; experience in NetOps/DevOps preferred.
The predicted salary is between 36000 - 60000 £ per year.
The Bristol Centre for Supercomputing (BriCS) runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the centre’s compute and software infrastructure, which includes:
- The sourcing of hardware and system design.
- The deployment of huge software-defined infrastructure using tools such as Kubernetes and Terraform / OpenTofu.
- Building and operating platforms to enable researchers to conduct leading-edge research using the systems.
- Optimising and refining software to ensure environmental and economic efficient use.
As one of the largest Open AI Research Resources internationally, we are committed to catalysing an AI transformation in the research and development community. In this role, you will work as part of the AI Supercomputing Team to build and operate primarily the infrastructure and compute platforms that researchers use for their work. You do not need to be an AI or computational research domain expert to deliver world-class infrastructure, but you do need to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, robust service delivery and scaling. This role supports hybrid working arrangements to provide flexibility. While the Centre's operational needs require successful candidates to start as soon as possible, we are able to accommodate individual notice periods to attract top talent.
What will you be doing? As a member of the AI Supercomputing Team, you will:
- Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash.
- Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments.
- Experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services.
- Design and debug platforms, and work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems.
You should apply if you:
- Want to help build, maintain and secure some of the largest, modern software-defined supercomputing systems.
- Would enjoy working with world class domain and AI researchers as your primary workload.
- Have built small to large clusters or dabbled in building your own physical or software-defined systems, and have motivation to scale up to something massive and nationally impactful.
- Love building large distributed, highly available systems, and want to see them used for truly open national-scale research in a cybersecurity compliant manner.
For our AI Supercomputing Infrastructure Engineer role focusing on storage and networking, you’ll need:
- Domain expertise in 1 or more areas from NetOps and DevOps.
- Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research.
- Good organisational skills to manage not just your own workload but also that of less experienced members of the team.
The available job description provides a full view of the person specification.
Additional information: For any informal enquiries, please contact Emma Rose, Centre Manager - emma.rose@bristol.ac.uk. Contract type: Open ended with fixed funding until August 2030. Work pattern: Monday - Friday, 35 hours per week. Grade: K School/Unit: Bristol Centre for Supercomputing (BriCS). This advert will close at 23:59 UK time on Sunday, 1st March. The interview date will be confirmed shortly. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.
AI Supercomputing Infrastructure Engineer (up to x2 FTE) in Bristol employer: University of Bristol
The Bristol Centre for Supercomputing (BriCS) is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. With a commitment to inclusivity and employee growth, we provide opportunities to work alongside world-class researchers on cutting-edge AI projects while enjoying the flexibility of hybrid working arrangements. Our focus on professional development and a supportive culture makes BriCS an ideal place for those looking to make a meaningful impact in the field of supercomputing.
StudySmarter Expert Advice🤫
We think this is how you could land AI Supercomputing Infrastructure Engineer (up to x2 FTE) in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at the Bristol Centre for Supercomputing on LinkedIn or other platforms. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Get comfy with tools like Kubernetes and Terraform, and be ready to discuss how you've used them in past projects. We want to see your passion for supercomputing!
✨Tip Number 3
Show off your problem-solving skills! Think of examples where you've tackled complex issues in tech. We love candidates who can think on their feet and come up with innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our awesome team at BriCS!
We think you need these skills to ace AI Supercomputing Infrastructure Engineer (up to x2 FTE) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Supercomputing role. Highlight any relevant projects or technologies you've worked with, especially those mentioned in the job description like Kubernetes and Terraform.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about supercomputing and how your background makes you a great fit for our team. Be sure to mention any specific experiences that demonstrate your ability to work with large-scale systems.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Whether it's Python, Rust, or Git, let us know how you've used these tools in past projects. We love seeing practical examples of your work!
Apply Through Our Website:For the best chance of success, make sure to apply through our official website. This way, your application will be processed directly by us, and you'll be one step closer to joining our amazing team at BriCS!
How to prepare for a job interview at University of Bristol
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like Python, Rust, Terraform/OpenTofu, and Kubernetes. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Understand the Research Environment
Get a grasp of the research landscape that the Bristol Centre for Supercomputing operates in. Knowing how supercomputing supports AI research will help you articulate how you can contribute to their mission during the interview.
✨Showcase Problem-Solving Skills
Prepare examples of how you've identified and solved complex problems in previous roles. Highlight your ability to work independently and your approach to tackling challenges, especially in a fast-paced tech environment.
✨Emphasise Team Collaboration
Since you'll be working closely with researchers, demonstrate your teamwork skills. Share experiences where you've collaborated effectively, especially in cross-functional teams, to show you're a good fit for their collaborative culture.