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- Tasks: Manage and support HPC clusters, ensuring optimal performance and security.
- Company: Join a global team focused on innovative engineering solutions.
- Benefits: Enjoy a hybrid working model with flexibility and work-life balance.
- Why this job: Be at the forefront of cutting-edge technology and drive impactful innovation.
- Qualifications: 4-8 years in HPC system administration; degree in Computer Science or related field.
- Other info: Collaborate with diverse teams and tackle complex challenges in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled and passionate HPC Engineer to join our Infrastructure Engineering team. This role focuses on managing, supporting, and evolving our High Performance Computing (HPC) environment while driving innovation through automation and modern cloud technologies. You’ll play a key role in ensuring the performance, availability, and scalability of HPC systems used by engineering teams across the organization. From managing workload schedulers to enhancing security and performance tuning, you will be at the heart of our mission to deliver world-class compute infrastructure.
Key Responsibilities:
- Operate and support HPC clusters, including job scheduling, resource management, and performance tuning.
- Work closely with engineering teams to ensure optimal usage of HPC systems for compute-intensive workloads.
- Manage and support HPC workload management tools, such as IBM Spectrum LSF.
- Automate common administrative and maintenance tasks using Shell, Bash, or Python scripting.
- Ensure the HPC environment remains secure, patched, and compliant with evolving security standards.
- Support HPC-related licensing tools (e.g., FlexLM, EDA licenses).
- Monitor system performance, availability, and proactively resolve bottlenecks and failures.
- Provide technical support to engineers and researchers using the HPC platform.
- Collaborate with infrastructure and DevOps teams to integrate HPC solutions with cloud platforms (e.g., AWS, GCP).
- Document architecture, configurations, and procedures for knowledge sharing and operational transparency.
Required Skills & Qualifications:
- 4–8 years of experience in HPC system administration or engineering.
- Degree in Computer Science, Engineering, or a related technical field.
- Strong Linux (RedHat preferred) system administration skills – RHCE certification is a plus.
- In-depth knowledge of HPC infrastructure, including cluster management and optimization.
- Hands-on experience with HPC job schedulers such as IBM Spectrum LSF, SLURM, or similar.
- Strong scripting skills in Shell, Bash, Python, or Perl.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Familiarity with tools for infrastructure monitoring, remote access, and interactive technologies (e.g., ETX).
- Understanding of vulnerability management, security patching, and system hardening.
- Experience working in global, distributed teams and supporting technical end users.
Nice to Have:
- Experience with Infrastructure as Code tools like Terraform and Ansible.
- Familiarity with Continuous Integration (CI) tools and artifact management (e.g., Artifactory).
- Exposure to EDA tools and software license management systems.
Why Join Us?
- Take ownership of cutting-edge HPC infrastructure powering world-class engineering workloads.
- Be part of a global team solving complex performance and scalability challenges.
- Drive innovation and automation in a technically rich and collaborative environment.
- Hybrid working model with flexibility and work-life balance.
High Performance Computing Engineer (HPC Engineer) employer: Gazelle Global
Contact Detail:
Gazelle Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High Performance Computing Engineer (HPC Engineer)
✨Tip Number 1
Familiarise yourself with the specific HPC tools mentioned in the job description, such as IBM Spectrum LSF and SLURM. Having hands-on experience or even personal projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Showcase your scripting abilities by preparing a small project or script that automates a common HPC task. This not only demonstrates your technical skills but also your proactive approach to problem-solving, which is highly valued in this role.
✨Tip Number 3
Engage with the HPC community online through forums or social media platforms. Networking with professionals in the field can provide insights into the latest trends and technologies, and may even lead to referrals or recommendations for the position.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or GCP during interviews. Highlight any projects where you've integrated HPC solutions with cloud services, as this aligns closely with our focus on modern cloud technologies.
We think you need these skills to ace High Performance Computing Engineer (HPC Engineer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in HPC system administration and engineering. Emphasise your skills in Linux, job schedulers like IBM Spectrum LSF, and scripting languages such as Shell or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for High Performance Computing. Mention specific projects or experiences that demonstrate your ability to manage and optimise HPC environments, and how you can contribute to the company's goals.
Showcase Relevant Skills: In your application, clearly outline your technical skills related to HPC infrastructure, cloud platforms, and automation tools. Provide examples of how you've used these skills in previous roles to solve complex problems.
Highlight Team Collaboration: Since the role involves working closely with engineering teams, mention any experience you have in collaborative environments. Discuss how you've supported technical end users and contributed to team projects in the past.
How to prepare for a job interview at Gazelle Global
✨Showcase Your HPC Knowledge
Make sure to brush up on your understanding of High Performance Computing systems, especially cluster management and job schedulers like IBM Spectrum LSF or SLURM. Be prepared to discuss specific experiences where you've optimised performance or resolved bottlenecks.
✨Demonstrate Scripting Skills
Since scripting is a key part of the role, be ready to talk about your experience with Shell, Bash, or Python. You might even want to prepare a small example of a script you've written that automates a task, as this could impress the interviewers.
✨Highlight Collaboration Experience
This role involves working closely with engineering teams and DevOps. Share examples of how you've successfully collaborated in a team setting, particularly in global or distributed environments, to solve complex problems.
✨Understand Security Practices
Familiarity with security standards and practices is crucial for this position. Be prepared to discuss your experience with vulnerability management, security patching, and system hardening, as well as how you ensure compliance in an HPC environment.
