Nvidia Senior Solutions Architect Infiniband Ethernet Networking - NVIS 

United States, Texas 

954751305

What you'll be doing:

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.

• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.

• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

• At least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• 8+ years of experience with configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance including medium to large scale HPC/AI network environments.

• Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performancereporting/optimization/logging,andnetwork-routing/advancednetworking (tuning and monitoring).

• Driven focus on customer needs and satisfaction. Self-motivated with excellent leadership skills including working with customers.

• Extensive knowledge of automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python.

• Strong written, verbal, and listening skills in English are essential.

Ways to stand out from the crowd:

• Linux or Networking Certifications.

• Experience with High-performance computing architectures. Understanding of how job schedulers (Slurm, PBS) work.

• Proven knowledge of Python or Bash.

• Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager).

• Experience with GPU (Graphics Processing Unit) focused hardware/software as well as experience with MPI (Message Passing Interface.)