Senior Research HPC Engineer

Senior Research HPC Engineer (LMS 2914)
Salary 57 623 - 61622 plus London Allowance 5560 per annum
Higher salary of 61622 - 67693 plus London Allowance of 5560 per annum will be available for candidates with significant relevant experience
Permanent Full Time Location: Hammersmith London

Main Duties & Approach

• Meet regularly with Heads of IT and Bioinformatics and other parties to develop and deliver Scientific Computing infrastructure software provisions and resilient services in line with strategic and scientific goals

• Work closely with researchers to develop reusable tools and to translate experimental and analytical requirements into scalable computational solutions that accelerate scientific discovery and improve research productivity

• Support researchers in utilising HPC including triaging user issues and translating common pain points into platform improvements

• Help build and maintain reproducible runtime environments container images and workflow-supporting services for scientific computing workloads including bioinformatics AI/ML data processing and simulation workflows

• Assume responsibility for coordination and provision of HPC user training and onboarding

• Ensure best practices in project management are maintained to ensure work is aligned with defined goals and that HPC projects are managed within agreed benefit timescale cost quality and risk limits

• Monitor report on and promote the Institutes Scientific Computing provisions

• Design and manage varied communication strategies for effective and timely stakeholder engagement including user-group meetings to ensure full visibility of their ongoing and future requirements

• Develop and deliver training documentation (e.g. runbooks SOPs) and onboarding materials to empower researchers to effectively use computational tools

• Maximise opportunities to network with similar organisations to benchmark services and activities Research developing trends to ensure future provision and cost-effective delivery of the Institutes scientific goals

Technical Activities

• Assist with the scoping provisioning configuration scaling and validation of compute storage networking and platform services within a high-performance computing infrastructure

• Support and implement the packaging versioning and validation of scientific software to ensure reproducibility and portability across research projects

• Establish policies and systems to ensure that workloads placed on the HPC systems are managed prioritised and run to achieve optimal service levels and uptime

• Install configure and manage Linux applications manually and using deployment software

• Resolve workflow performance issues on the cluster and help to design HPC jobs

• Implement and maintain management and monitoring tools report usage levels and service level data

• Streamline and automate maintenance deployment and configuration tasks

• Alongside the Head of IT assume responsibility for documenting and implementing relevant disaster recovery processes

• Ensure awareness via user feedback and monitoring of likely points of failure proactive maintenance in mitigation and repair of HPC resources by diagnosing anticipating and troubleshooting arising problems

• Maintain awareness of emerging HPC software security vulnerabilities and apply relevant security patches

• Support the Head of IT in implementing and maintaining HPC related usage policies

• Support LMS IT staff as requested for issues and queries relating to standalone Linux/Unix systems

• Other duties commensurate with the grade of the post as directed by the supervisor

Person Requirements

Education / Qualifications / Training required (will be assessed from the application form):

Essential

• A degree in a computing/scientific research/engineering subject with a significant computational component or equivalent skills and experience. Significant experience of working at a high-level within a relevant area

Desirable

• Industry-standard Linux certifications (e.g. RHCA RHCSA)

• Current qualifications in project management (e.g. PRINCE2)

• Knowledge experience or qualification in cloud computing

• Knowledge or education to a higher level within a scientific field

Knowledge and experience required(will be assessed from the application form and at the interview):

Specific Role Competencies

Essential

• Hands-on experience supporting and administering Linux-based systems in an HPC research academic or production environment

• Experience in configuration and maintenance of multi-queue job scheduling systems (e.g. SLURM)

• Experience in the use of scientific software compilation and deployment systems (e.g. Spack EasyBuild Lmod conda)

• Virtualisation and containerisation deployment and management (e.g. Docker Singularity)

• Ability to work closely with multidisciplinary research teams understand scientific computing needs and deliver practical services that advance scientific goals

• Knowledge of scripting (e.g. Bash) and version control systems (e.g. Git/GitHub) to support reproducible and collaborative research

• Integration of heterogeneous Linux/Windows/Mac environments (e.g. Active Directory)

• Ability to troubleshoot issues across systems networking storage identity containers schedulers and user workloads and to follow problems through to a reliable operational fix

• Experience with automation tooling (e.g. Salt xCAT)

• Maintain awareness of HPC cyber security principles best practices and emerging threats

• High attention to detail and accuracy to effectively analyse and interpret complex data and use it solve to complex technical problems quickly and effectively though leadership delegation and the ability to deep-dive when necessary

Desirable

• Exposure to computational research involving GPU including AI/ML methods applied to biomedical problems

• Experience supporting GPU-accelerated workloads NVIDIA tooling CUDA-aware environments and/or AI/ML and bioinformatics workloads on shared compute platforms.

• Familiarity with bioinformatics or scientific workflow frameworks (e.g. Nextflow Snakemake WDL/Cromwell) and an understanding of reproducible pipeline design

• Experience working in a scientific academic life-science or research computing environment where requirements evolve through close collaboration with researchers

• Knowledge of tools that support reproducible research and automation (e.g. CI/CD pipelines workflow testing IaC tools like Ansible and Terraform)

• Familiarity with large-scale biological data types (e.g. from genomics EM or confocal microscopy medical imaging phenomics) and associated storage/access challenges

• Familiarity with identity access and security controls in Linux or research environments least-privilege access and security patching.

• Experience of C R or Python programming

• Experience with GPU-focused hardware and software

• Experience monitoring and optimising research workloads and system performance using tools such as Grafana Prometheus Arbiter2

People Leadership

Desirable

• Motivating and developing staff to utilise HPC effectively through HPC onboarding and training

• Project managing work packages within and between groups

• Resolving complaints and in conflict resolution

Personal Skills / Behaviours / Qualities (will be assessed at the interview):

Essential

• Excellent verbal and written communication skills

• Able to selfmotivate when working independently on projects and collaboratively within a team

• Effectively plans multitask and prioritises workload to achieve results adapting quickly while maintaining control in challenging situations

• Ensures appropriate engagement of colleagues with relevant stakeholders and issues

• Ability to develop and encourage cross-boundary working relationshipsand to work collaboratively

• Contribute positively to IT and cross-functional teams and shares knowledge and skills

Additional information:

Please upload your CV the names and contacts of two references along with a cover letter stating why you are applying for this post (showing evidence against the requirements as per the Job Description and Person Specification). Please quote reference number LMS 2914

Please note that final appointment will be subject to pre-employment screening.

Please note that applications may be reviewed by both LMS and Imperial staff

Closing date: 18 October2026