Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, implement, and manage HPC clusters and research data storage systems.
- Company: Join a team dedicated to advancing scientific research and curing diseases.
- Benefits: Collaborate with experts, mentor juniors, and engage in innovative projects.
- Why this job: Make a real impact in scientific discovery while working in a dynamic environment.
- Qualifications: Experience with parallel storage systems and advanced Unix/Linux administration required.
- Other info: Bring your boldness and creativity to a role that values collaboration and innovation.
The predicted salary is between 42000 - 84000 £ per year.
Are you ready to make waves in the exciting world of scientific research?
I’m talking about building and supporting the platform responsible for curing diseases. The big time.
You’ll be joining a team looking to supercharge the company’s scientific computing capabilities and help researchers tackle data like it’s an unruly toddler.
This is a key role – designing, implementing, and managing HPC clusters, cloud, and research data storage systems. You’ll be part of greenfield technical initiatives, mentor junior team members, and collaborate with various IT departments to ensure researchers receive the best service since, well, sliced bread!
They’re looking for someone with experience in parallel storage systems like GPFS / Spectrum Scale, or Lustre, alongside a solid grasp of HPC systems and advanced Unix/Linux administration. If you can charm both machines and humans, you’re already ahead of the game! You’ll engage with scientific teams to integrate instruments with data management platforms while providing training and support on best practices.
Be part of an innovative team dedicated to advancing scientific discovery, and if you’re ready to bring your boldness, imagination, openness, dynamism, and collegiality to the table, I want to hear from you.
#J-18808-Ljbffr
HPC Engineer (Research Computing) employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HPC Engineer (Research Computing)
✨Tip Number 1
Familiarize yourself with the specific HPC technologies mentioned in the job description, like GPFS/Spectrum Scale and Lustre. Having hands-on experience or projects that showcase your skills with these systems can set you apart from other candidates.
✨Tip Number 2
Engage with the scientific community by attending relevant conferences or webinars. Networking with researchers and IT professionals can provide insights into current challenges they face, which you can address in your conversations during the interview.
✨Tip Number 3
Prepare to discuss your experience in mentoring and collaborating with junior team members. Highlighting your ability to lead and support others will demonstrate your fit for a key role in the team.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of how you've tackled complex data management issues in the past. Being able to articulate your thought process will impress the hiring team and show your readiness for the challenges ahead.
We think you need these skills to ace HPC Engineer (Research Computing)
Some tips for your application 🫡
Understand the Role: Dive deep into the job description to understand the key responsibilities and required skills. Highlight your experience with HPC clusters, parallel storage systems, and Unix/Linux administration in your application.
Tailor Your CV: Customize your CV to reflect relevant experiences that align with the job requirements. Emphasize any previous work with scientific computing, mentoring, and collaboration with IT departments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for scientific research and your ability to support researchers. Mention specific projects or achievements that demonstrate your expertise in HPC systems and data management.
Showcase Soft Skills: Since the role involves engaging with scientific teams, highlight your communication and interpersonal skills. Provide examples of how you've successfully collaborated with others or provided training and support in past roles.
How to prepare for a job interview at LinuxRecruit
✨Show Your Technical Expertise
Be prepared to discuss your experience with parallel storage systems like GPFS/Spectrum Scale or Lustre. Highlight specific projects where you designed, implemented, or managed HPC clusters and how you tackled challenges in those roles.
✨Demonstrate Collaboration Skills
Since this role involves working closely with scientific teams, share examples of how you've successfully collaborated with cross-functional teams in the past. Emphasize your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios related to HPC systems and data management during the interview. Practice articulating your thought process and problem-solving strategies, showcasing your ability to think on your feet.
✨Emphasize Mentorship Experience
If you have experience mentoring junior team members, be sure to mention it. Discuss how you approach mentorship and training, and provide examples of how you've helped others grow in their technical skills.
