Vultr
GPU Solutions Engineer
$180K–$200K
Remote - United States · Remote · Full-time · Posted Jul 21, 2026
- Experience
- 5+ years in design, implementation, or consulting in applications and infrastructure; 4+ years in Solution Engineering, Sales Engineering, Professional Services, or Consulting; 3+ years deploying GPU-based AI, ML, and Analytics solutions.
About the job
Leads customers in designing, implementing, and optimizing AI, ML, and GPU solutions on Vultr’s cloud platform, from architecture through production.
What you'll do
- Understand customer objectives and design architectures for complex use cases; lead resolution of customer challenges.
- Guide customers through technical and business discussions, and educate them on Vultr’s solutions.
- Collaborate with Product, Engineering, Sales, and Marketing on customer feedback, reference architectures, white papers, workshops, and demonstrations.
What they ask for
- Expertise in the GPU ecosystem, AI/ML models and frameworks, GPU benchmarking, workload orchestration, and GPU performance optimization.
- Demonstrated experience with Kubernetes and Slurm; understanding of x86 server hardware and Linux OS.
- Hands-on Infrastructure as Code experience and networking experience, including protocols such as Infiniband or RoCE / UEC Ethernet.
- Experience with structured sales engagement models such as MEDDPIC, Sandler, or BANT.
Pay
$180,000 - $200,000 (base salary; currency not stated)
Tools
Kubernetes, Slurm, x86, Linux, Terraform, Ansible, Infiniband, NCCL / RCCL
AI focus
Customer-facing design, deployment, and optimization of GPU-based AI and ML workloads, including training, inference, fine-tuning, reinforcement learning, and agentic harnesses.
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