GPU Solutions Engineer for AI Cloud & HPC

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

Benefits offered by this job

Company-paid health insurance

401(k) matching

Professional development reimbursement

Paid time off + holidays

Remote office stipend

Internet reimbursement

Gym membership reimbursement

Wellable subscription

Job summary

Vultr is seeking a highly skilled GPU Solutions Engineer to lead customers in designing, implementing, and optimizing solutions on Vultr’s GPU platform. You will collaborate with Direct Sales, Customer Success, Product Management, Engineering, and Support to bring AI/ML workloads to life.

You thrive in a fast-paced environment, translating complex technical concepts into clear, actionable architectures. This role requires hands-on experience with cloud infrastructure, Kubernetes, and modern GPU

Qualifications

• 5+ years of design, implementation, or consulting in applications and infrastructure.
• 4+ years of Solution Engineering, Sales Engineering, Professional Services or Consulting experience.
• 3+ years deploying GPU-based AI/ML solutions.
• Experience with MEDDPIC, Sandler, or BANT sales processes.
• Strong knowledge of GPU hardware, architectures, and AI frameworks.

Responsibilities

• Understand customer objectives and design tailored GPU solutions.
• Architectures and reference designs; educate customers on value.
• Lead complex customer issue resolution and collaborate with teams.
• Partner with Marketing to create demos and white papers.
• Travel 25% to meet customers.

Skills

Cloud computing

Kubernetes

Infrastructure as Code

Networking

AI/ML concepts

Problem solving

Cross-functional collaboration

Sales engineering awareness

Tools

Terraform

Ansible

Slurm

NCCL

RCCL

Job description

Vultr is seeking a highly skilled GPU Solutions Engineer to lead customers in designing, implementing, and optimizing solutions on Vultr’s GPU platform. You will collaborate with Direct Sales, Customer Success, Product Management, Engineering, and Support to bring AI/ML workloads to life.

You thrive in a fast-paced environment, translating complex technical concepts into clear, actionable architectures. This role requires hands-on experience with cloud infrastructure, Kubernetes, and modern GPU