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NVIDIA

Designs the chips and software that power AI

Senior Solutions Architect - Networking Ethernet

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience.
  • At least 5 years of professional experience in networking fundamentals, the TCP/IP stack, and data center architecture.
  • Proficiency in configuring, testing, validating, and troubleshooting LAN and InfiniBand networks, especially in medium- to large-scale HPC/AI environments.
  • Advanced knowledge of EVPN, BGP, OSPF, and VXLAN protocols.
  • Hands-on experience with network switch and router platforms including Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
  • Extensive experience delivering automated network provisioning solutions using tools such as Ansible, Salt, and Python.
  • Ability to develop CI/CD pipelines for network operations.
  • Strong focus on customer needs and satisfaction, self-motivation, and leadership skills to work collaboratively with customers and internal teams.
  • Strong written, verbal, and listening skills in English.
  • Willingness to travel approximately 30%.

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.
  • Engage in and improve the full lifecycle of services, from inception and design through deployment, operation, and refinement.
  • Maintain live services by measuring and monitoring availability, latency, and overall system health.
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.
  • Interact with customers, partners, and internal teams to analyze, define, and implement large-scale networking projects involving networking, system design, and automation.

Desired Qualifications

  • Familiarity with cloud networks such as AWS, GCP, and Azure.
  • Linux or networking certifications.
  • Experience with high-performance computing architectures and understanding how job schedulers such as Slurm and PBS work.
  • Knowledge of cluster management technologies, with bonus credit for BCM (Base Command Manager).
  • Experience with GPU-focused hardware and software.

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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