Vultr

1 week ago

GPU Fabric Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Validate, troubleshoot, and optimize high-speed InfiniBand/RoCE networking fabrics for GPU clusters used in large-scale AI training and inference. Tune interconnect parameters for distributed workloads, monitor fabric health with NVIDIA UFM, diagnose issues like congestion and packet loss, and optimize RDMA, PFC/ECN, and lossless queue settings. Collaborate with GPU and networking teams, respond to production alerts, and document runbooks and tuning procedures.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•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 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.

Pay and Benefits

Salary: USD 125,000 - 135,000

Perks:Health InsuranceDentalVision401kPaid LeaveLearning BudgetRemote WorkGym Membership

Key Requirements

•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).

Experience:3-7 yearsHPCGPU infrastructureCloud infrastructure

Skills:TroubleshootingAnalytical skillsCollaborationDocumentation

Tech Stack:InfiniBandRoCENVIDIA UFM (Unified Fabric Manager)RDMANCCLMPIPFCECNDCQCNLossless queue configurationNVIDIA NVLinkNVSwitchConnectXIbstatIbqueryerrorsPerfqueryPythonBashLinux

Company Brief

Vultr

Provides cloud infrastructure services including VPS, dedicated instances, block storage, and bare metal across global data centers. Targets developers and businesses with simple, high-performance, and cost-effective cloud compute and networking solutions.

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn

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Vultr

1 week ago

GPU Fabric Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•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 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.

Pay and Benefits

Salary: USD 125,000 - 135,000

Perks:Health InsuranceDentalVision401kPaid LeaveLearning BudgetRemote WorkGym Membership

Key Requirements

•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).

Experience:3-7 yearsHPCGPU infrastructureCloud infrastructure

Skills:TroubleshootingAnalytical skillsCollaborationDocumentation

Tech Stack:InfiniBandRoCENVIDIA UFM (Unified Fabric Manager)RDMANCCLMPIPFCECNDCQCNLossless queue configurationNVIDIA NVLinkNVSwitchConnectXIbstatIbqueryerrorsPerfqueryPythonBashLinux

Company Brief

Vultr

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn