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- Tasks: Design and manage high-performance computing environments for cutting-edge research.
- Company: Join a leading research company driving innovation in technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on research projects using advanced AI and computing technologies.
- Qualifications: Experience with HPC solutions, Linux, and scripting languages like Python.
- Other info: Be part of a dynamic team with exciting challenges and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about high performance computing, AI infrastructure, AWS, and Linux? If so, this is the environment for you. Join one of the world's leading Research companies to help shape the future of research technology. You will be part of a brand new research computing team, driving innovation through high performance computing and AI. This is your chance to design, build, and manage advanced infrastructure that powers world‐class research across a wide range of disciplines and tackles real‐world challenges.
In this role you will help create a high‐performance environment that allows researchers to push the boundaries in computational modeling, machine learning, simulations, and analytics. Your work will directly support projects across multiple domains, from social sciences to computational research, ensuring availability, performance, and security across GPU clusters, high‐speed networks, and storage systems. You will also help researchers transition to AWS and work with tools and technologies such as AWS, Linux, Terraform, Ansible, HPC, GPU systems, and Slurm.
Responsibilities:- Help create, manage, and optimize a high‐performance environment that enables researchers to conduct advanced simulations, machine learning, and analytics on GPU clusters, high‐speed networks, and storage systems.
- Support the transition of researchers to AWS cloud, leveraging AWS, Linux, Terraform, Ansible, HPC, GPU systems, and scheduling tools like Slurm.
- Hybrid or cloud based HPC solutions such as AWS, Azure, or GCP
- Advanced Linux system administration in research computing environments
- Workload management and scheduling tools such as Slurm, PBS, HTCondor, or Kubernetes
- Scripting and automation using Python, Bash, or Ansible
- Infrastructure as code using Terraform
If this sounds like you and you're open to hearing more details, apply below or send an email at ethan.farrell@linuxrecruit.co.uk
HPC Engineer employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HPC Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the HPC and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with AWS, Linux, or any HPC tools you've used. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common HPC scenarios and be ready to discuss how you've tackled challenges in past roles. Confidence is key!
✨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 hearing from passionate candidates like you!
We think you need these skills to ace HPC Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high performance computing, AWS, and Linux. 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 express your passion for HPC and AI infrastructure. Let us know why you’re excited about this opportunity and how you can contribute to our research computing team.
Showcase Your Technical Skills: Be specific about your technical expertise in tools like Terraform, Ansible, and Slurm. We love seeing candidates who can demonstrate their hands-on experience, so include any relevant projects or examples that highlight your skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at LinuxRecruit
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Linux, and Slurm. Brush up on your knowledge of HPC systems and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in high-performance computing environments. Highlight how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your ability to think critically and innovate.
✨Understand the Research Landscape
Familiarise yourself with the types of research that the company supports. Knowing how HPC can impact various disciplines will help you connect your skills to their needs and show that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and future directions of the research computing environment. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
