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Accountabilities : 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 (Scientific Computing Platform) 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 (&gt;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

Chennai

Lead Consultant - HPC (10-18 yrs)

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