At a Glance
- Tasks: Design and manage advanced computational infrastructure for groundbreaking research.
- Company: Globally renowned life sciences organisation tackling critical global challenges.
- Benefits: Competitive salary, health benefits, and a vibrant mission-driven environment.
- Other info: Unique opportunity to push boundaries in a collaborative and innovative culture.
- Why this job: Make a real impact on global health and environmental challenges while leading a talented team.
- Qualifications: Deep expertise in HPC, Linux, and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Empower research changing the world as a Lead HPC Engineer.
Join a globally renowned life sciences organisation tackling some of the planet’s most critical challenges—from fighting life-threatening diseases to addressing the climate crisis.
As a Lead HPC Engineer, you’ll be at the forefront of designing, optimising, and managing advanced computational infrastructure.
You’ll have a solid grasp of all things HPC, Linux, Slurm, and storage systems (bonus points if you’re familiar with GPFS).
Your expertise will ensure the systems are reliable, scalable, and high-performing, ready to support researchers in achieving groundbreaking discoveries.
In this role, you’ll strike a balance between big-picture strategy and hands-on technical work.
You’ll own the HPC roadmap, shaping its future to align with our research priorities and evolving needs.
This isn’t just about maintaining systems; it’s about pushing boundaries and ensuring the infrastructure stays ahead of the curve.
As a leader, you’ll guide and mentor a talented team of engineers, fostering a culture of collaboration and innovation.
You’ll be the bridge between our researchers and technical teams, helping translate complex scientific needs into tailored, scalable solutions.
We’re looking for someone with deep expertise in HPC environments, including: Linux systems, workload management, parallel storage, and high-speed networking.
You’ll also bring strong leadership skills, inspiring and managing teams, while rolling up your sleeves to tackle technical challenges.
Key Responsibilities and Requirements
- Design, optimise, and manage advanced computational infrastructure
- Balance big-picture strategy and hands-on technical work
- Guide and mentor a talented team of engineers
- Translate complex scientific needs into tailored, scalable solutions
This is a unique opportunity to immerse yourself in a vibrant, mission-driven environment where your work has a direct impact on global health and environmental challenges.
#J-18808-Ljbffr
Lead HPC Engineer employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team-oriented environment encourages personal growth and development, allowing you to tackle real-world challenges while directly engaging with clients. With attractive compensation packages and a commitment to high trust and low ego, we offer a unique opportunity for meaningful and rewarding employment in the rapidly evolving field of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Lead HPC Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LinuxRecruit!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead HPC Engineer at LinuxRecruit.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LinuxRecruit.
✨Apply Directly through Our Website
When you find a suitable opening like Lead HPC Engineer at LinuxRecruit, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead HPC Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LinuxRecruit, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LinuxRecruit. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LinuxRecruit
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LinuxRecruit!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
