Nvidia Senior AI Infrastructure Engineer 

United States, California 

364465871

What you'll be doing:

• Administer an NVIDIA Internal AI cluster composed of Linux systems ranging from the world’s most powerful servers to embedded systems

• Maintain the configuration of our resource management system (SLURM) to keep resource allocation efficient and aligned with organizational priorities

• Automate configuration management, software updates, and maintenance of system availability using modern DevOps tools (Ansible, Gitlab, etc.)

• Plan and maintain new systems that support the NVIDIA Software stack

• Work directly with developers and hardware architects to debug issues, identify new requirements, and improve workflows

• Actively communicate with users and management regarding resource planning and allocation

What we need to see:

• 5+ years of previous experience deploying and administering large scale clusters, tuned for development efforts in AI

• MS in Computer Science, Computer Engineering, or EECE; or a BS (or equivalent experience).

• Deep knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.)

• Demonstrated ability to script in bash, and at least one high-level language (Python preferred)

• Experience with container technologies (Docker, Singularity, etc.)

• Deep understanding of operating systems, computer networks, and high-performance hardware

• Ability to work well with developers, hardware architects, & test engineers

• Passionate dedication to providing quality support for users

Ways to stand out from the crowd:

• Prior work experience managing high performance fabrics and parallel file systems

• Familiarity with CUDA and managing GPU-accelerated computing systems

• Basic knowledge of deep learning frameworks and algorithms