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

Bengaluru, Karnataka, India

NVIDIA Logo
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

InfiniBand
Ethernet
TCP/IP
EVPN
BGP
OSPF
VXLAN
Cumulus Linux
HPC
AI Infrastructure
Data Center Architecture
Networking

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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