Requirements:

B.Sc. in Computer Science, Engineering, or related field with 5+ years of experience.
Deep knowledge of HPC and AI solution technologies.
Advanced proficiency in programming and scripting languages.
Familiarity with Jenkins, Ansible, Puppet/Chef.
Excellent knowledge of Windows, Linux, networking, and OS-level security.
Deep understanding of networking protocols such as InfiniBand and Ethernet.
Experience with job scheduling workloads and orchestration tools.
Background with multiple storage solutions.
Expertise with virtual systems and cloud platforms.

Nice to Haves:

Proven networking experience or strong knowledge through professional networking training.
Architectural Insight: Knowledge of CPU and/or GPU architecture.
Container Expertise: Understanding of Kubernetes and container-related technologies.
GPU Focus: Experience with GPU-focused hardware/software.
RDMA Fabrics: Background with RDMA fabrics.

Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters.
Infrastructure as Code (IaC): Utilize and develop tools for scalable deployments.
Streamline CI/CD Pipelines: Develop and maintain automation pipelines.
Automate Everything: Develop automation scripts for deployment and monitoring.
Develop complex Networking automations.
Troubleshoot Complex Issues: Ensure system reliability and efficiency.
Lead and Educate: Develop and share best practices with teams.
Drive Innovation: Support R&D activities for future improvements.

At NVIDIA, we value diversity and are committed to creating an inclusive environment.
Reasonable accommodations provided for all individuals during the application or interview process.
Opportunity to be part of a team pushing the boundaries of technology.