Senior Solutions Architect, Infiniband and Networking Ethernet - NVIS

NVIDIA is looking for a Senior Solutions Architect to join its NVIDIA Infrastructure Specialist Team. The successful candidate will be responsible for building AI/HPC infrastructure for new and existing customers, supporting operational and reliability aspects of large-scale AI clusters, and engaging in the whole lifecycle of services from inception and design through deployment, operation, and refinement.

Primary responsibilities will include:

• Building AI/HPC infrastructure for new and existing customers
• Supporting operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting
• Engaging in and improving the whole lifecycle of services,from inception and design through deployment, operation, and refinement
• Maintaining services once they are live by measuring and monitoring availability, latency, and overall system health

The ideal candidate will have:

• A BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
• At least 5+ years of professional experience in networking fundamentals, Ethernet or InfiniBand World
• Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS, etc.
• Solid working knowledge of Ethernet/InfiniBand/RDMA core principles
• Proficiency in end-to-end IB/Eth cluster deployment, adapter configuration and firmware maintenance, and able to conduct professional performance benchmarking with mainstream RDMA testing tools
• Ability to independently diagnose and troubleshoot typical IB/Eth network anomalies, including link flapping, connection failure, as well as bandwidth and latency jitter issues
• Master practical RDMA network optimization strategies such as QP tuning, MTU configuration and congestion control optimization
• Hands-on working experience in RDMA-accelerated business scenarios, including distributed storage and high-performance computing clusters
• Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python
• Ability to develop CI/CD pipelines for network operations

Preferred qualifications include:

• Familiarity with cloud networks (AWS, GCP, Azure)
• Advanced Linux or Networking Certifications
• Experience with High-performance computing architectures. Understanding of how job schedulers (Slurm, PBS) work
• Lustre management technologies knowledge (bonus credit for BCM (Base Command Manager))
• Experience with GPU (Graphics Processing Unit) focused hardware/software

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.