Senior Solutions Architect Networking

NVIDIA Gruppe; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

NVIDIA Gruppe is seeking a Senior Networking Solutions Architect to join its Infrastructure Specialist Team in Mumbai, India. You will be responsible for building AI/HPC infrastructure, engaging with customers, and ensuring reliability for large-scale AI clusters.

The ideal candidate has over 5 years of experience in networking, strong communication skills, and a solid educational background in related fields. This role focuses on customer satisfaction and teamwork.

Qualifications

• At least 5+ years of professional experience in networking fundamentals.
• Proficiency in configuring LAN networks especially in medium to large-scale HPC/AI environments.
• Strong written, verbal, and listening skills in English.

Responsibilities

• Build AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters.
• Measure and monitor availability, latency, and overall system health.

Skills

Networking fundamentals

TCP/IP stack

Data center architecture

LAN network configuration

EVPN, BGP, OSPF, VXLAN

Ansible, Salt, Python

CI/CD pipeline development

Customer focus

Leadership skills

Strong communication skills

Education

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics or related fields

Tools

Cumulus Linux

SONiC

IOS

JunosOS

EOS

Job description

NVIDIA is looking for Senior Networking (ETH) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

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 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.
• Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager)).
• Experience with GPU (Graphics Processing Unit) focused hardware/software.