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- Tasks: Join a high-profile team to build a code screening platform for supercomputing.
- Company: Leading tech firm specialising in HPC and scientific computing.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Opportunity to work with cutting-edge technology in a dynamic environment.
- Why this job: Make a real impact in the world of supercomputing and scientific research.
- Qualifications: Strong HPC experience and proficiency in Python, C/C++, or Fortran.
The predicted salary is between 60000 - 80000 £ per year.
Inside IR35 Hybrid (2-3 days pw on site in London)
Duration: 3 months initial with strong chance of extension
Do you speak fluent HPC? Can you tell a legitimate MPI communicator from a suspicious one? We need someone who has lived and breathed supercomputing, not just read about it.
You'll be embedded in a high-profile delivery team building a code screening platform for a regulated client environment. Your deep knowledge of how HPC workloads actually behave is the difference between a system that works and one that drowns in false positives.
You'll map workflows, define what 'normal' looks like on a GPU cluster, and make sure the engineering team never builds something that falls apart when it meets real scientific code. You'll also be the trusted link between the delivery team and the client's supercomputing operations staff.
What we're looking for:
- Strong experience in HPC, research computing, or scientific computing operations
- Strong hands-on Slurm, MPI, CUDA, and multi-node GPU cluster experience
- Comfortable in Python, C/C++, Fortran, understanding code, not just running it
- Experience with parallel file systems and HPC data movement architectures
- Ideally: national lab, supercomputing centre, or Cray/HPE environment background
If you're interested please send a current CV for review.
HPC & Scientific Computing Engineer in London employer: Synergetic
Contact Detail:
Synergetic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HPC & Scientific Computing Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the HPC and scientific computing world. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know someone who knows someone, and that could be your ticket in!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your HPC prowess, make sure to highlight it during interviews. We want to see how you tackle real-world problems, so let your work speak for itself!
✨Tip Number 3
Prepare for technical interviews by brushing up on your MPI and CUDA knowledge. We recommend doing mock interviews with friends or using online platforms to simulate the experience. The more comfortable you are, the better you’ll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace HPC & Scientific Computing Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your HPC experience and any relevant projects you've worked on. We want to see how you've lived and breathed supercomputing, so don’t hold back on the details!
Showcase Your Skills: When listing your skills, be specific about your hands-on experience with Slurm, MPI, and CUDA. We’re looking for someone who can hit the ground running, so let us know what you can bring to the table.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s absolutely necessary. Remember, we want to understand your expertise without wading through fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Synergetic
✨Know Your HPC Inside Out
Make sure you can discuss your hands-on experience with HPC, Slurm, MPI, and CUDA confidently. Prepare specific examples of how you've tackled challenges in these areas, as this will show your depth of knowledge and practical skills.
✨Demonstrate Your Problem-Solving Skills
Be ready to explain how you've mapped workflows or defined 'normal' behaviour on GPU clusters in past projects. Use real scenarios to illustrate your thought process and how you ensure systems perform well under scientific workloads.
✨Brush Up on Your Coding Skills
Since the role requires understanding code, not just running it, be prepared to discuss your experience with Python, C/C++, and Fortran. You might even want to review some code snippets beforehand to demonstrate your ability to analyse and improve them.
✨Build a Connection with the Delivery Team
Think about how you can act as a bridge between the delivery team and the client's supercomputing operations staff. Prepare to share your thoughts on effective communication strategies and how you’ve successfully collaborated with different teams in the past.