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Senior Solutions Architect, Networking and Compute Infrastructure

NVIDIA · Posted Sep 16

Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions

India, GurugramFull-timeOnsiteSenior Level5+ years₹45.0L–₹85.0L yearly100+ applicants
SemiconductorsArtificial IntelligenceComputer HardwareCloud ComputingPublic Company
Full time

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About the role

NVIDIA is looking for a Senior Solution Architect, Networking and Compute Infrastructure 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 centres. This role will be interacting with customers, partners and internal teams to analyse, define and implement large scale Networking projects, combining Networking, System Design and Automation.

What you will do

  • 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.
  • Develop tooling to automate and manage of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
  • Deploy monitoring solutions for the servers, network and storage.
  • Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.
  • Being a technical resource, develop, re-define and document standard methodologies to share with customer and internal teams Support activities and engage in POCs/POVs for future improvements.
  • Experience with system administration on Linux systems required (CentOS, RHEL, and Ubuntu preferred)

Skills used in this role

NetworkingTCP/IPEVPNBGPOSPFVXLANHPCAIInfiniBandEthernetNVLinkRDMARoCEPythonBashLinuxCentOSRHELUbuntuJenkinsAnsiblePuppetChefKubernetesDockerConfiguration ManagementAutomationMonitoringData Center ArchitectureGPU ArchitectureCPU ArchitectureObservability

What the employer is looking for

  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 5+ years’ work or research experience in networking fundamentals, TCP/IP stack, and data centre compute architecture.
  • Advance knowledge of HPC, AI & EVPN, BGP, OSPF, VXLAN protocols.
  • Deep understanding of DC architecture fundamentals such as compute, storage (PFS) & InfiniBand, Ethernet, NVLink.
  • Experience running HPC performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
  • Python programming, bash scripting experience and Advance Linux knowledge.
  • Extensive experience delivering automated network provisioning and comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet. Chef, etc.
  • Possess solid working knowledge of Ethernet/InfiniBand/RDMA core principles.
  • Excellent customer-facing and communication skills (verbal and written in both languages), enabling effective engagement with customers, partners, and cross-functional teams across the India region. Listening skills in English are critical.
  • Willingness to travel

Preferred qualifications

  • Knowledge of CPU and/or GPU architecture including of Kubernetes, container related microservice technologies.
  • Background with RDMA (InfiniBand or RoCE) fabrics.
  • Linux or Networking Certifications (e.g., CCNP, CCIE) or NVIDIA-related certifications.
  • Deep Knowledge on observability stack and build experience.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About NVIDIA

NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.

Industry
Semiconductors
Company size
42000+ employees
Founded
April 5, 1993
Location
Santa Clara, California, USA
Funding stage
Public Company

Funding

Public Company · $5M raised

Worldview Technology Partners

Leadership

JH
Jensen Huang

Founder, President and Chief Executive Officer

CK
Colette Kress

Executive Vice President and Chief Financial Officer

CA
Chris A. Malachowsky

Founder and NVIDIA Fellow

JP
Jay Puri

Executive Vice President, Worldwide Field Operations