Senior Solutions Architect, Infiniband and Networking Ethernet - NVIS at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, TechnologyIndustries

Requirements

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

Responsibilities

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
Interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects, including Networking, System Design and Automation

Skills

Key technologies and capabilities for this role

InfiniBandEthernetTCP/IPEVPNBGPOSPFVXLANCumulus LinuxHPCAI InfrastructureData Center ArchitectureNetworking

Questions & Answers

Common questions about this position

What experience level is required for this Senior Solutions Architect role?

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

What are the key technical skills needed for this position?

Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks is required, along with advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols, and hands-on experience with platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

What automation skills are expected for this role?

Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python, as well as the ability to develop CI/CD pipelines for network operations, is required.

What is the salary for this position?

This information is not specified in the job description.

What location or remote work options are available?

This information is not specified in the job description.

What soft skills are important for this role?

Strong interpersonal, customer-focused skills, self-motivation, leadership to work collaboratively, and strong written, verbal, and listening skills in English are essential.

What education is required?

BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields is required.

How can I stand out as a candidate?

Familiarity with cloud networks (AWS, GCP, Azure), Linux or Networking Certifications, experience with HPC architectures, job schedulers like Slurm or PBS, Lustre management, and GPU-focused hardware/software will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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