Nvidia Senior Solutions Architect Infiniband Networking Ethernet - NVIS 

India, Karnataka, Bengaluru 

150473023

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, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

• At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture

• Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments.

• Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.

• Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

• Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.

• Ability to develop CI/CD pipelines for network operations.

• Strong focus on customer needs and satisfaction.

• Self-motivated with leadership skills to work collaboratively with customers and internal teams.

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

Ways to stand out from the crowd:

• Familiarity with cloud networks (AWS, GCP, Azure) is a plus.

• Linux or Networking Certifications.

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

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

• Experience with GPU (Graphics Processing Unit) focused hardware/software.