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Senior Architect AI Infrastructure & Fabric

VST Consulting, Inc

Hybrid in Plano, Texas • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

HPC
AI Infrastructure
Multi-Node GPU Clusters
NVIDIA GPU
HGX
DGX
NVLink
NVSwitch
InfiniBand
NDR
XDR
High-Performance Ethernet
UFM
Subnet Management
Adaptive Routing
Congestion Control
SHARP
WEKA
Lustre
GPFS
VAST
DDN
GPUDirect Storage
GPUDirect RDMA
NVMe-oF
NFS-over-RDMA
Bare-Metal Provisioning
Linux
NCCL
IOR
fio
NUMA
PCIe
Data Center Infrastructure
GPU Cluster Architecture

Summary

Job Title: Senior Architect AI Infrastructure & Fabric
Client: LTTS
Location: Plano, TX Hybrid Employment Type: FTE
Experience: 6+ Years HPC or AI Infrastructure Engineering Interview Mode: Virtual Practice: AI Infrastructure / GPU-as-a-Service

About the Role

We are building a GPU-as-a-Service and AI Factory practice supporting enterprise and industrial customers. This role focuses on the infrastructure beneath the operating system, including GPU node architecture, compute and storage fabrics, bare-metal provisioning, high-performance storage, and data center infrastructure.

You will be responsible for designing scalable GPU infrastructure and troubleshooting complex cluster, storage, networking, and performance issues.

Key Responsibilities

Design GPU cluster physical and logical topology, including node configurations, rail-optimized fabric layouts, oversubscription ratios, and failure domains.
Architect and deploy InfiniBand NDR/XDR and high-performance Ethernet fabrics, including subnet management, UFM, adaptive routing, congestion control, and SHARP offload.
Design high-performance AI storage architectures using parallel filesystems such as WEKA, Lustre, GPFS, VAST, and DDN.
Work with GPUDirect Storage, NVMe-oF, and NFS-over-RDMA and size storage for dataloader reads, checkpoint writes, and artifact serving.
Own bare-metal cluster lifecycle, including provisioning, firmware and driver baselines, imaging, node validation, and burn-in.
Produce BOMs and infrastructure sizing for compute, networking, optics, and storage.
Validate infrastructure against customer power, cooling, floor loading, and deployment requirements.
Run scaling and fabric benchmarks including NCCL bus bandwidth, IB performance tests, IOR, and fio.
Diagnose interconnect and GPU cluster scaling issues, including link errors, topology binding, NUMA/PCIe affinity, GPUDirect RDMA, and I/O stalls.
Establish infrastructure standards for offshore delivery teams and review their work before customer delivery.

Required Qualifications

6+ years of HPC or AI infrastructure engineering experience.
Production multi-node GPU cluster experience is mandatory.
Deep experience with InfiniBand and/or high-performance Ethernet, including fabric design, subnet management, congestion behavior, and troubleshooting.
Strong experience with NVIDIA GPU platforms, including HGX or DGX-class systems, NVLink, NVSwitch, drivers, and firmware.
Experience designing and tuning parallel or scale-out filesystems for I/O-intensive workloads.
Strong bare-metal cluster provisioning and Linux systems engineering experience.
Understanding of data center infrastructure, including rack power, airflow, direct-liquid cooling concepts, cabling, and optics planning.

Nice to Have

NVIDIA Enterprise Reference Architecture experience.
Spectrum-X or BlueField DPU experience.
Liquid-cooled GPU deployment experience.
WEKA, VAST, or DDN certification.
NVIDIA networking certification.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10202400
Position Id: 9088305
Posted 2 hours ago

Fitment

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Dolly Gupta

Recruiter @ VST Consulting, Inc

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Job Details

Skills

HPC
AI Infrastructure
Multi-Node GPU Clusters
NVIDIA GPU
HGX
DGX
NVLink
NVSwitch
InfiniBand
NDR
XDR
High-Performance Ethernet
UFM
Subnet Management
Adaptive Routing
Congestion Control
SHARP
WEKA
Lustre
GPFS
VAST
DDN
GPUDirect Storage
GPUDirect RDMA
NVMe-oF
NFS-over-RDMA
Bare-Metal Provisioning
Linux
NCCL
IOR
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NUMA
PCIe
Data Center Infrastructure
GPU Cluster Architecture

Summary

About the Role

You will be responsible for designing scalable GPU infrastructure and troubleshooting complex cluster, storage, networking, and performance issues.

Key Responsibilities

Design GPU cluster physical and logical topology, including node configurations, rail-optimized fabric layouts, oversubscription ratios, and failure domains.
Architect and deploy InfiniBand NDR/XDR and high-performance Ethernet fabrics, including subnet management, UFM, adaptive routing, congestion control, and SHARP offload.
Design high-performance AI storage architectures using parallel filesystems such as WEKA, Lustre, GPFS, VAST, and DDN.
Work with GPUDirect Storage, NVMe-oF, and NFS-over-RDMA and size storage for dataloader reads, checkpoint writes, and artifact serving.
Own bare-metal cluster lifecycle, including provisioning, firmware and driver baselines, imaging, node validation, and burn-in.
Produce BOMs and infrastructure sizing for compute, networking, optics, and storage.
Validate infrastructure against customer power, cooling, floor loading, and deployment requirements.
Run scaling and fabric benchmarks including NCCL bus bandwidth, IB performance tests, IOR, and fio.
Diagnose interconnect and GPU cluster scaling issues, including link errors, topology binding, NUMA/PCIe affinity, GPUDirect RDMA, and I/O stalls.
Establish infrastructure standards for offshore delivery teams and review their work before customer delivery.

Required Qualifications

6+ years of HPC or AI infrastructure engineering experience.
Production multi-node GPU cluster experience is mandatory.
Deep experience with InfiniBand and/or high-performance Ethernet, including fabric design, subnet management, congestion behavior, and troubleshooting.
Strong experience with NVIDIA GPU platforms, including HGX or DGX-class systems, NVLink, NVSwitch, drivers, and firmware.
Experience designing and tuning parallel or scale-out filesystems for I/O-intensive workloads.
Strong bare-metal cluster provisioning and Linux systems engineering experience.
Understanding of data center infrastructure, including rack power, airflow, direct-liquid cooling concepts, cabling, and optics planning.

Nice to Have

NVIDIA Enterprise Reference Architecture experience.
Spectrum-X or BlueField DPU experience.
Liquid-cooled GPU deployment experience.
WEKA, VAST, or DDN certification.
NVIDIA networking certification.

Dice Id: 10202400
Position Id: 9088305
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Dolly Gupta

Recruiter @ VST Consulting, Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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