Strategic Technical Account Manager, GPU

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🕒 April 16

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Vultr

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

🔥 Funding within the last year

💰 $329M Debt Financing - Vultr on 2025-06

Artificial Intelligence • B2B • Hardware

Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.

📋 Description

• Lead onboarding for customers deploying GPU clusters (bare metal, VMs, or hybrid). • Advise on cluster design: multi-GPU topology, NVLink/NVSwitch considerations, RDMA, Infiniband and RoCE Ethernet, networking throughput, and storage IOPS requirements. • Guide customers in selecting GPU types and configurations based on workload (training, fine-tuning, inference, embeddings, RAG pipelines). • Support distributed frameworks: PyTorch, TensorFlow, DeepSpeed, Megatron, JAX, Ray, Mosaic, HuggingFace, etc. • Advanced hands on Kubernetes skills • Advanced hands on SLURM skills • Identify bottlenecks (network, storage, memory bandwidth). • Provide tuning recommendations for batch size, mixed precision, parallelization strategies, and checkpointing. • Help customers evaluate cost vs. performance tradeoffs (GPU mix, CPU pairing, instance types, cluster sizing). • Own the long-term technical strategy across assigned GPU/AI accounts, including hyperscalers, labs, and high-growth AI startups. • Host recurring technical review meetings, roadmap reviews, and optimization sessions. • Define scaling plans, future GPU reservation needs, and capacity forecasting. • Partner with Support, SRE, Networking, NOC, and Product Management & Engineering to resolve high-urgency incidents. • Manage outage communications, corrective action plans, and postmortem reviews with customers. • Advocate for GPU reliability improvements and influence roadmap priorities. • Identify opportunities for expanded clusters, high speed storage, or networking upgrades. • Support Sales with technical validation and architecture diagrams needed for expansion. • Provide structured feedback on existing and future GPU offerings, networking fabrics, storage platforms, and upcoming AI/ML platform features. • Partner with Product on early access programs (new GPUs, pipelines, orchestration, etc.).

🎯 Requirements

• 2–5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC Engineer, Sales/Solutions Engineer or relevant technical role. • Strong knowledge of GPU hardware architectures (NVIDIA/AMD), CUDA/ROCm, distributed training, and ML frameworks. • Experience with Linux tuning, networking (Infiniband, RoCE fabrics). • Experience with high-performance storage systems (DDN, NetApp, Vast, Weka, etc.). • Ability to communicate complex concepts clearly to both executives and engineering teams. • Prior experience supporting hyperscale, AI labs, or large cluster deployments is a plus. • Cloud Native Computing Foundation Certified Kubernetes Administrator (CKA) certification is a plus.

🏖️ Benefits

• 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