Senior HPC Cluster Engineer
ShiftCode Analytics
GPU Compute Clusters Design And Implementation
Candidate should possess in depth understanding of design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads.
Qualifications
- Minimum 7 years of experience designing and operating large scale compute infrastructure
- Experience analyzing and tuning performance for a variety of HPC workloads
- Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt
- Experience with HPC cluster job schedulers such as SLURM, LSF
- In depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud
- Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting
- Experience with HPC workflows that use MPI
Ways to stand out from the crowd:
- Understanding of MLPerf benchmarking
- Familiarity with InfiniBand with IBOP and RDMA
- Understanding of fast, distributed storage systems like Lustre and GPFS for HPC workloads
Vacancy posted 1 day ago
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