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DGX Engineer

4 months ago

Ashburn, United States FlexIT Global Full time

Role Overview:

Join our team as a skilled NVIDIA DGX Infrastructure Engineer. You'll be instrumental in optimizing and managing our NVIDIA DGX-based infrastructure to ensure peak performance, reliability, and scalability.

Key Responsibilities:

  • Collaborate closely with data scientists, AI engineers, and IT teams to seamlessly integrate DGX systems into AI and deep learning workflows.
  • Resolve complex issues related to DGX systems, including hardware, software, and network components.
  • Proactively monitor system performance and implement improvements to maintain operational efficiency.
  • Implement and enforce security measures to safeguard DGX-based data and workflows.
  • Manage and optimize NVIDIA DGX systems and associated infrastructure to meet performance and scalability requirements.
  • Provide technical guidance and mentorship to team members on DGX-related technologies.
  • Document infrastructure configurations, operational procedures, and best practices.
  • Stay abreast of advancements in NVIDIA DGX hardware and software; recommend upgrades and enhancements as needed.

Requirements:

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Demonstrated experience managing NVIDIA DGX systems in production environments.
  • Proficiency in scripting languages (e.g., Python) for automation and configuration management.
  • Strong understanding of AI and deep learning frameworks and their integration with NVIDIA DGX systems.
  • Hands-on experience with virtualization technologies (e.g., Docker, Kubernetes) in conjunction with DGX systems.
  • Knowledge of storage solutions (e.g., NFS, Ceph) and their integration with DGX clusters.
  • Familiarity with networking principles, protocols, and configurations relevant to DGX infrastructure.
  • Excellent troubleshooting and problem-solving skills.
  • Outstanding communication skills, both verbal and written.
  • Ability to work independently and collaboratively within a team environment.