Senior Solutions Architect, InfiniBand and Networking Ethernet - NVIS
Role Overview
NVIDIA is seeking a Senior Networking Solutions Architect for its Infrastructure Specialist Team.
The role supports customers building large-scale AI and high-performance computing systems using Ethernet and InfiniBand networking.
The position combines networking, system design, automation, customer engagement, and service reliability.
Key Skills for This Role
Full Job Posting
Role overview
NVIDIA is seeking a Senior Networking Solutions Architect for its Infrastructure Specialist Team.
The role supports customers building large-scale AI and high-performance computing systems using Ethernet and InfiniBand networking.
The position combines networking, system design, automation, customer engagement, and service reliability.
What you will do
- Build AI and high-performance computing infrastructure for new and existing customers.
- Analyze, define, and implement large-scale networking projects with customers, partners, and internal teams.
- Support operational and reliability aspects of large-scale AI clusters.
- Improve cluster performance through real-time monitoring, logging, and alerting.
- Manage services from inception and design through deployment, operation, and refinement.
- Measure availability, latency, and overall system health after services go live.
- Report bugs, document workarounds, and suggest improvements to internal teams.
What we need to see
- Bachelor's, master's, or doctoral degree, or equivalent experience, in a relevant technical field.
- At least five years of professional networking experience involving Ethernet or InfiniBand.
- Hands-on experience with network switch or router platforms such as Cumulus Linux, SONiC, IOS, JunosOS, or EOS.
- Working knowledge of Ethernet, InfiniBand, and RDMA principles.
- Experience with end-to-end cluster deployment, adapter configuration, firmware maintenance, and RDMA benchmarking.
- Ability to troubleshoot IB or Ethernet anomalies including link flapping, connection failures, bandwidth issues, and latency jitter.
- Experience with QP tuning, MTU configuration, and RDMA congestion control optimization.
- Experience with RDMA-accelerated distributed storage or HPC clusters.
- Experience automating network provisioning with Ansible, Salt, or Python and developing CI/CD pipelines.
- Strong written, verbal, and listening skills in English.
Desirable experience
- Advanced Linux or networking certifications are desirable.
- HPC architecture and job scheduler knowledge, including Slurm or PBS, are desirable.
- Cluster management technology knowledge, including BCM, is desirable.
- GPU-focused hardware or software experience is desirable.
Team context
The Infrastructure Specialist Team supports academic and commercial organizations using NVIDIA products for deep learning, data analytics, and data centers.
The role works closely with customers, partners, and internal teams.
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