Senior HPC Systems Engineer

1 week ago

Hyderabad Secunderabad Telangana, India beBeeHighperformance Full time ₹ 1,04,000 - ₹ 1,30,878
Lead High-Performance Computing (HPC) Engineer

HPC System Administration & Troubleshooting:

  • Benchmark, optimize and troubleshoot complex HPC systems to ensure high availability, performance and reliability.
  • Solve GPU, CPU, network drivers, firmware and OS-level issues efficiently using technical expertise.
  • Debug storage, networking and job scheduling bottlenecks in Slurm-based environments to maintain cluster health.

Kubernetes & Cloud HPC Environments:

  • Design and deploy scalable HPC workloads in Kubernetes for AI/ML and parallel computing applications.
  • Optimize OpenStack-based HPC clusters with Ceph, Cinder and Neutron for cloud scalability and efficiency.
  • Implement containerized HPC workflows using Kubernetes and OpenShift for seamless integration.

Automation & Infrastructure as Code (IaC):

  • Develop Ansible and Terraform scripts for provisioning and managing HPC resources effectively.
  • Automate job scheduling, cluster monitoring and log analysis using Python for data-driven insights.
  • Enhance CI/CD pipelines for HPC and AI/ML applications by integrating DevOps practices.

Performance Tuning & Benchmarking:

  • Conduct thorough benchmarking and optimization of multi-node HPC workloads (MPI, NCCL, ROCm, CUDA).
  • Tune OS parameters, networking (InfiniBand, RoCE) and Slurm configurations for peak performance.
  • Improve HPC storage performance (Ceph, Lustre, NFS) and distributed computing efficiency through expert analysis.

Client Support & Collaboration:

  • Provide timely and effective technical support and troubleshooting for HPC users across the organization.
  • Engage with developers, DevOps engineers and system administrators to collaborate on optimizing cluster performance and efficiency.
  • Document solutions, best practices and contribute to internal knowledge bases for future reference.

PREFERRED QUALIFICATIONS:

  • Experience with AMD MI300, MI2X0 GPUs, ROCm, MPI, UCX or XPMEM technologies.
  • Familiarity with containerized workloads using Singularity or Docker in HPC environments.
  • Knowledge of OpenStack deployment automation tools such as TripleO, Kolla or OpenStack-Ansible.
  • Background in customer-facing technical roles with strong problem-solving skills and ability to work under pressure.

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