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GPU Fabric Engineer at Vultr - ApplyBlast

GPU Fabric Engineer

Vultr

3 months ago

4.1 on Glassdoor

Remote

Full Time

Senior

2 applicants

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About this role

Vultr is seeking a GPU Fabric Engineer to validate, troubleshoot, and optimize high-speed InfiniBand and RoCE fabrics for large-scale AI training and inference workloads. The role involves tuning fabric performance parameters, managing health via NVIDIA UFM, and collaborating with GPU and networking teams to ensure line-rate throughput. This position requires deep hands-on experience with GPU cluster environments and distributed communication libraries.

Responsibilities

Validate and troubleshoot InfiniBand and RoCE fabrics during GPU cluster bring-up
Tune fabric performance parameters for distributed AI workloads
Monitor and manage fabrics using NVIDIA UFM for health and topology
Diagnose and resolve fabric-level issues including link errors and congestion
Optimize RDMA transport settings and lossless queue configuration

Skills

Qualifications

3-7 years of experience in network engineering or GPU infrastructureHands-on experience with InfiniBand and/or RoCE fabricsExperience with NVIDIA UFM for fabric managementProficiency in Python or Bash for scriptingBasic understanding of Linux systems

About Vultr

vultr.com

Headquarters

West Palm Beach, Florida, United States

Company Size

201-500 employees

Founded

2014

View Profile

Vultr is a cloud infrastructure provider offering high-performance SSD VPS and cloud servers with 100% KVM virtualization and a global network of data centers. It delivers developer-friendly tooling — a simple control panel, RESTful API, and flexible hourly/monthly billing — alongside products like cloud compute, bare metal, block storage, load balancers, managed Kubernetes, and a marketplace of prebuilt images. Organizations and developers use Vultr for fast provisioning, predictable pricing, and global hosting for web apps, dev/test environments, and production workloads.