GPU Solutions Engineer

About the role

Vultr GPU Solutions Engineer designs and deploys customer AI/ML workloads on GPU cloud. Requires 5+ years infrastructure work, 4+ years solutions engineering/consulting, and 3+ years deploying GPU-based AI/ML solutions. Core requirements include Kubernetes/Slurm, Linux, GPU architecture/performance, networking, and infrastructure as code.

Requirements

• 5+ years applications/infrastructure design, implementation, or consulting
• 4+ years Solutions Engineering, Sales Engineering, Services, or Consulting
• 3+ years deploying GPU-based AI/ML/analytics solutions
• Expertise in GPU hardware, AI/ML frameworks, and orchestration
• Kubernetes and Slurm
• Linux/x86 systems, IaC, networking, and GPU performance

What you'll do

• Design cloud GPU solutions for customers
• Lead architecture and implementation
• Resolve complex technical challenges
• Provide customer insights to product and engineering
• Create reference architectures, workshops, and demos
• Travel 25%

Where this was posted

• LinkedIn

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