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NVIDIA

Designs the chips and software that power AI

Senior Solutions Architect - Networking and Compute Infrastructure

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeIndiaNo salary listed

About the Job

Requirements

  • At least 5 years of work or research experience in networking fundamentals, the TCP/IP stack, and data centre compute architecture.
  • Advanced knowledge of high-performance computing, artificial intelligence, and EVPN, BGP, OSPF, and VXLAN protocols.
  • Deep understanding of data centre architecture fundamentals, including compute, storage (PFS), InfiniBand, Ethernet, and NVLink.
  • Experience running high-performance computing performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
  • Experience with Python programming and Bash scripting, and advanced Linux knowledge.
  • Extensive experience delivering automated network provisioning and familiarity with automation and configuration management tools, including Jenkins, Ansible, Puppet, and Chef.
  • Solid working knowledge of Ethernet, InfiniBand, and RDMA core principles.
  • Customer-facing and communication skills in both languages for engagement with customers, partners, and cross-functional teams across the India region; English listening skills are critical.
  • Willingness to travel.
  • Knowledge of Linux system administration is required; CentOS, RHEL, and Ubuntu are preferred.

Responsibilities

  • Build 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.
  • Improve the full lifecycle of services from inception and design through deployment, operation, and refinement.
  • Develop tooling to automate and manage large-scale infrastructure environments, automate operational monitoring and alerting, and enable self-service resource consumption.
  • Deploy monitoring solutions for servers, network, and storage.
  • Troubleshoot from bare metal through operating system, software stack, and application levels.
  • Develop, redefine, and document standard methodologies for customer and internal teams.
  • Support activities and engage in proofs of concept and proofs of value for future improvements.
  • Analyze, define, and implement large-scale networking projects while interacting with customers, partners, and internal teams.

Desired Qualifications

  • Knowledge of CPU and/or GPU architecture, Kubernetes, and container-related microservice technologies.
  • Background with RDMA (InfiniBand or RoCE) fabrics.
  • Linux or networking certifications such as CCNP or CCIE, or NVIDIA-related certifications.
  • Deep knowledge of observability stacks and experience building them.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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