NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Solutions Architect - Infiniband and Networking Ethernet
October 18
NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Description
• Build 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. • Regional travel is required for on-site visits with customers.
Requirements
• 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, performance reporting/optimization/logging, and network-routing/advanced networking (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. • Linux or Networking Certifications. • Experience with High-performance computing architectures. • Understanding of how job schedulers(Slurm, PBS) work. • Proven knowledge of Python or Bash. • Infrastructure Specialist's delivery experience luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) • Background with GPU (Graphics Processing Unit) focused hardware/software. • Experience with MPI (Message Passing Interface).
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