Architect large-scale GPU clusters within fixed site power budgets that optimizes for maximum GPU density while reserving necessary headroom for compute services, storage, and networking.
Model and validate power consumption across the full cluster bill of materials (GPUs, CPUs, NICs, switches, fabric components, storage, and facility limits).
Evaluate tradeoffs across multiple fabric networking architectures (InfiniBand, RoCE, SpectrumX) as well as multi-plane, 2-tier/3-tier, and rail-optimized topologies.
Determine network scale limits based on switch radix, link speed, topology, and blocking requirements.
Gather, interpret, and maintain detailed SKU-level power and thermal specifications for GPUs, NICs, switches, DPUs, storage, and server platforms.
Develop power-aware cluster configuration templates and capacity-planning models that can scale across sites with varying constraints and allow for quick iteration and ideation.
Document architecture, design choices, tradeoff analyses, and operational considerations for deployment and lifecycle management.
Provide guidance on future-proofing, including the ability to incorporate next-gen GPUs, NICs, or fabrics.
Collaborate with vendors on novel fabric architectures that enable large-scale cluster deployments (100k+ GPUs)

Requirements

7+ years designing or building large-scale HPC, AI, or hyperscale GPU clusters.
Expert understanding of GPU and accelerator system design, including node topology, PCIe/NVLink/NVSwitch/ROCm, and NIC-to-GPU affinity considerations.
Strong familiarity with InfiniBand, RoCE, and SpectrumX networking, including multi-tier, multi-plane, Clos/dragonfly variants, and large-radix switch design.
Demonstrated experience modeling power draw and thermal characteristics of servers, GPUs, NICs, switches, optics, and storage systems.
Ability to design networks that maintain full non-blocking performance or intentionally introduce over/under-subscription while understanding impacts on workload performance.
Proven ability to gather and analyze vendor SKU-level specifications and incorporate them into scalable cluster architectures.
Experience balancing customer-driven requirements for compute, storage, and service density in combination with overall GPU count.
Strong documentation, communication, and cross-functional collaboration skills.

Benefits

Excellent Medical Benefits w/ 100% company-paid premiums for employee only plan + 100% company-paid dental & vision premiums
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 + take your birthday off
Commitment matters to Vultr! Increased PTO at 3 year & 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
$500 first year remote office setup + $400 each following year for new equipment
Internet reimbursement up to $75 per month
Gym membership reimbursement up to $50 per month
Company-paid Wellable subscription

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GPU architectureHPC designAI cluster designpower modelingthermal modelingInfiniBandRoCESpectrumXPCIeNVLink

Soft Skills

documentationcommunicationcross-functional collaborationanalytical skillsproblem-solving