Senior High Performance Computing Engineer

Senior High-Performance Computing (HPC) Engineer

Roles & Responsibilities

• Infrastructure Management:

  Implement and manage cloud-based infrastructure that supports HPC environments. Ensure the security, scalability, and reliability of these systems.

• Collaboration & Optimization:

  Work closely with data scientists and ML engineers to deploy scalable machine learning models. Optimize cloud resources for cost-effective and efficient use.

• Automation & Monitoring:

  Develop and maintain

  CI/CD pipelines

  for deploying resources to multi-cloud environments. Monitor and troubleshoot cluster operations and cloud environments.

• Technical Leadership:

  Provide technical leadership and guidance in cloud and HPC systems management. Document system design and operational procedures.

Qualifications

• A Bachelor's degree in Computer Science, IT, or a related field with hands-on experience in HPC administration.

• Expert Linux/Unix system administration

  experience (RHEL, CentOS, Ubuntu, etc.).
• Proficiency with job scheduling and resource management tools (

  SLURM, PBS, LSF

  ).
• Good understanding of parallel computing,

  MPI, OpenMP

  , and GPU acceleration (

  CUDA, ROCm

  ).
• Knowledge of storage architectures and distributed file systems (

  Lustre, GPFS, Ceph

  ).
• Expertise in scripting languages (

  Python, Bash

  ) and containerization technologies (

  Docker, Kubernetes

  ).
• Experience with Infrastructure as Code (

  IaC

  ) tools like

  Terraform or CloudFormation

  and

  Git

  .
• Experience in cloud computing (

  AWS, Azure, GCP

  ) and a strong understanding of cloud architecture.

• Red Hat Certified Engineer (RHCE)

  or

  AWS Certified Solutions Architect

  certifications are preferred.

Skills & Competencies

• Problem-Solving:

  Strong analytical and problem-solving skills, with expertise in root-cause analysis and troubleshooting.

• Communication:

  Top-level communication and documentation skills are essential.

• Collaboration:

  The ability to work effectively with global, virtual, and cross-functional teams in a fast-paced, cloud-first environment.

• Technical:

  Experience with multi-cloud environments, machine learning frameworks (

  TensorFlow, PyTorch

  ), and distributed computing technologies is a plus.

• Onsite & On-Call:

  This position is required to be onsite and involves a

  24/5 and weekend on-call rotation

  , with the possibility of working later shifts.