GPU Solutions Architect - Cloud AI & HPC Deployments

Vultr; United States; Remote; USD 180,000 - 200,000; Full time

Benefits offered by this job

Insurance covered

401(k) match

PD reimbursement

PTO & holidays

Sabbatical program

Remote office stipend

Internet stipend

Gym reimbursement

Wellable access

Job summary

Vultr seeks a highly skilled GPU Solutions Engineer to lead customers in designing, implementing, and optimizing AI/ML workloads on Vultr’s GPU platform. You’ll work with Sales, CS, Product, and Engineering to translate complex tech into clear solutions and guide production deployments.

Strong hands-on cloud, networking, Kubernetes, and GPU compute experience are essential. This is a high-visibility role in a fast-growth company requiring proactive problem solving, customer engagement, and

Qualifications

• Demonstrated ability to design and implement GPU/AI solutions with cloud infrastructure.
• Experience with Kubernetes, Slurm, and workload orchestration.
• Solid understanding of x86 server hardware and Linux OS.
• Experience with IaC tools such as Terraform and Ansible.

Responsibilities

• Engage with customers to understand objectives and design architectures.
• Create innovative solutions and architectures for complex use cases.
• Build relationships within customers independent of account executives.
• Educate customers on Vultr value and expand horizons of what's possible.
• Lead deep architectural discussions to craft world-class solutions.
• Collaborate with engineering/product to relay customer feedback.
• Travel about 25% to support engagements.

Skills

Kubernetes

Slurm

Terraform

Ansible

Networking

x86 Server Hardware

Linux

NCCL/RCCL

GPU Hardware

AI Frameworks

Tools

Terraform

Ansible

Kubernetes

Slurm

Job description

Vultr seeks a highly skilled GPU Solutions Engineer to lead customers in designing, implementing, and optimizing AI/ML workloads on Vultr’s GPU platform. You’ll work with Sales, CS, Product, and Engineering to translate complex tech into clear solutions and guide production deployments.

Strong hands-on cloud, networking, Kubernetes, and GPU compute experience are essential. This is a high-visibility role in a fast-growth company requiring proactive problem solving, customer engagement, and