HPC Applications Engineer

Purview is a global leader in IT Engineering and Talent Solutions, trusted by Fortune 500 and mid-market clients across 21+ countries. Headquartered in Edinburgh, with delivery centres in India, our 1,200+ professionals drive meaningful digital transformation worldwide.

As a certified Ethnic Minority Business and Premier Member of MSDUK, we proudly blend diversity with deep technical expertise to deliver results that matter.

We’re currently hiring for the below role with one of our valued clients. If it aligns with your experience and aspirations, we’d love to hear from you!

Role: HPC Applications Engineer

Location: Gothenburg, Sweden

Hybrid: 2 days a week

Key Accountabilities

· Develop, deliver and operate research computing services and applications.

· Take a Site Reliability Engineering approach to HPC services, managing the

development deployment, monitoring and incident response end-to-end.

· Solve complex technical problems, both with SCP applications and services and

the user’s use of them

· Provide deep research software engineering expertise to assist users in debugging

and optimising their workflows and applications

· Essential Knowledge, Skills, and Experience

· Scientific application installation, optimisation and configuration

· Effective use of HPC job schedulers such as SLURM

· Experienced working in a Linux environment

· Competent in multiple programming and scripting languages from the following

list: python, R, Shell Scripts, C/C++, Golang, and deep expertise in at least one of

them

· Deep understanding of the factors influencing HPC application performance

· Highly customer focused; able to explain IT technical concepts in a manner which

non-IT experts can understand

Required Skills and Knowledge

· Scientific degree, and/or experience in computationally intensive analysis of

scientific data

· Previous experience in high performance computing (HPC) environments,

especially at large scales (>10,000 cores)

· Experience with high performance parallel filesystems at petabyte scale, e.g.

GPFS, Lustre

· Hands-on knowledge of a range of scientific and HPC applications such as

simulation software, bioinformatics tools or 3D data visualisation packages

· Experience with software build frameworks such as Easybuild or Spack

· Expertise in GPU, AI/ML tools and frameworks (CUDA, TensorFlow, PyTorch)

· Strong understanding of parallel programming techniques (e.g. MPI, pthreads,

OpenMP) and code profiling/optimisation

· Experience with workflow engines (e.g. Apache Airflow, Nextflow, Cromwell, AWS

StepFunctions)

· Familiarity with container runtimes such as Docker, Singularity or enroot

· Expertise in specific scientific domains relevant to early drug development, such

as deep learning, medical imaging, molecular dynamics or 'omics.

· Experience with frameworks for regression tests and benchmarks for HPC

applications, like Reframe HPC

· Experience with working in GxP-validated environments

Plus some of the following areas of experience:

· Experience administering and optimising a HPC job scheduler (e.g. SLURM)

· Experience with configuration automation and infrastructure as code (e.g.

Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer

Kit)

· Experience deploying infrastructure and code to public cloud, especially AWS

· Hands-on experience working in a DevOps team and using agile methodologies