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AstraZeneca

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4.1

based on 813 Reviews

Video summary

156 AstraZeneca Jobs

HPC Application Engineer

AstraZeneca India Pvt. Ltd

4.1

based on 813 Reviews

5-6 years

₹ 9.9 - 10.7L/yr (AmbitionBox estimate)

Chennai

1 vacancy

HPC Application Engineer

AstraZeneca

posted 16hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Automation Testing Recruitment Linux Administration C++ CCTV Monitoring

+ 4 more

Job Description

As an HPC Application Engineer, you will be responsible for developing, delivering, and operating research computing services and applications. You will take a Site Reliability Engineering approach to manage the end-to-end development, deployment, monitoring, and incident response of HPC services. Your role will involve solving complex technical problems related to SCP applications and services, as well as assisting users in debugging and optimizing their workflows and applications. You will work closely with scientific users to help them optimize and productionize their code, ensuring they make the best use of our research computing services.

Essential Skills/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

Desirable Skills/Experience

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
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