GPU Fabric Engineer

Vultr

GPU Fabric Engineer validating and optimizing high-speed networking fabrics for AI training at Vultr. Collaborate with engineering teams to enhance fabric performance in GPU clusters.

Posted 7/13/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $125,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in validating and troubleshooting InfiniBand and RoCE fabrics for GPU clusters, optimizing performance parameters for distributed AI workloads, and utilizing NVIDIA UFM for effective fabric management. Proficient in scripting with Python or Bash and possesses strong analytical skills for diagnosing network and system issues.

Highest-signal resume keywords

InfiniBand Fabric ManagementRoCE Fabric TroubleshootingNVIDIA UFM ProficiencyRDMA Transport OptimizationGPU Cluster Networking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Network EngineeringHPC Fabric ExperienceDistributed Communication LibrariesFabric Diagnostic ToolsPerformance BenchmarkingScripting in PythonScripting in BashLinux Systems UnderstandingServer Hardware KnowledgeCongestion Management

Soft Skills

Strong Troubleshooting SkillsAnalytical SkillsCollaboration

Tools & Technologies

NVIDIA NVLinkNVIDIA NVSwitchConnectXIbstatIbqueryerrorsPerfquery

Industry Keywords

GPU InfrastructureFabric Performance TuningAI WorkloadsNetwork MonitoringTopology Management

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Validate and troubleshoot InfiniBand and RoCE fabrics during GPU cluster bring-up and expansion
Tune fabric performance parameters for distributed AI workloads (NCCL, MPI, collective operations)
Monitor and manage fabrics using NVIDIA UFM (Unified Fabric Manager) for health, topology, and performance visibility
Diagnose and resolve fabric-level issues including link errors, congestion, packet loss, and path asymmetry
Optimize RDMA transport settings, PFC/ECN behavior, and lossless queue configuration for GPU traffic
Validate fabric performance benchmarks and ensure line-rate throughput for AI workloads
Collaborate with GPU Engineers to correlate fabric health with workload performance
Collaborate with networking teams on fabric provisioning, configuration, and remediation
Respond to fabric alerts and degradation events across production GPU clusters
Document fabric troubleshooting procedures, tuning parameters, and validation runbooks

Requirements

What you’ll need

3–7 years of experience in network engineering, HPC fabric, or GPU infrastructure
Hands-on experience with InfiniBand and/or RoCE fabrics in GPU cluster environments
Experience with NVIDIA UFM for fabric management, monitoring, and diagnostics
Strong understanding of RDMA transport, lossless Ethernet design, and congestion management (PFC, ECN, DCQCN)
Experience with GPU cluster networking and distributed communication libraries (NCCL, MPI)
Familiarity with GPU platforms and their interconnect requirements (NVIDIA NVLink, NVSwitch, ConnectX)
Experience with fabric diagnostic tools (ibstat, ibqueryerrors, perfquery, etc.)
Proficiency in Python or Bash for scripting and validation
Basic understanding of Linux systems and server hardware
Strong troubleshooting and analytical skills across network and system layers

Benefits

Comp & perks

100% company-paid insurance premiums for employee medical, dental and vision plans.
401(k) plan that matches 100% up to 4%, with immediate vesting
Professional Development Reimbursement of $2,500 each year
11 Holidays + Paid Time Off Accrual + Rollover Plan
Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
$500 stipend for remote office setup in first year + $400 each following year
Internet reimbursement up to $75 per month
Gym membership reimbursement up to $50 per month
Company paid Wellable subscription