GPU Solutions Engineer
Vultr · Remote · Remote - United States ·
COMPENSATION
€180k – €200k
Listed on the employer's job board (Ashby)
- Fully remote
- GPU & AI focus
- Up to 25% travel
- Senior level
- USD salary
As a GPU Solutions Engineer at Vultr, you will partner with direct sales, customer success, and product teams to help enterprises implement high-performance GPU solutions. You will translate complex technical requirements into clear architectures, guiding customers from initial design through to production deployment.
This highly visible role requires deep expertise in cloud infrastructure, Kubernetes, and modern GPU computing. You will solve real-world challenges for AI innovators, influence product development through customer feedback, and create reference materials to support internal and external stakeholders.
What you'll do
- Collaborate with customers to understand objectives and design innovative solutions
- Lead resolution of complex technical challenges for client deployments
- Partner with engineering and product teams to relay customer feedback
- Create reference architectures, white papers, and technical demonstrations
- Establish direct technical relationships with customers independent of sales
- Educate clients on Vultr’s platform capabilities and potential use cases
What you'll need
- 5+ years in application/infrastructure design, implementation, or consulting
- 4+ years in Solution Engineering, Sales Engineering, or Professional Services
- 3+ years deploying GPU-based AI, ML, and Analytics solutions
- Expertise in GPU hardware, virtualized cloud delivery, and ML ops orchestration
- Strong knowledge of Kubernetes, Slurm, and workload orchestration tools
- Experience with Infrastructure as Code using Terraform or Ansible
- Familiarity with networking protocols like Infiniband, RoCE, or UEC Ethernet
- Understanding of x86 server architecture and Linux OS at cluster level
Nice to have
- Experience with structured sales engagement models like MEDDPIC or Sandler
- Knowledge of NCCL/RCCL performance optimization techniques
- Background in high-performance storage options including open source solutions
Stack
- Kubernetes
- Slurm
- Terraform
- Ansible
- Linux
- Infiniband
- RoCE
- NCCL
- RCCL
How you'll work
- Remote work available
- Travel required up to 25%
- Fast-paced environment
- Independent operation expected
What you get
- 100% company-paid medical, dental, and vision insurance
- 401(k) plan with 100% match up to 4% and immediate vesting
- $2,500 annual professional development reimbursement
- $500 remote office setup stipend in first year
- $400 annual remote office stipend thereafter
- Up to $75 monthly internet reimbursement
- Up to $50 monthly gym membership reimbursement
- Paid sabbatical every 5 years
- Increased PTO at 3 and 10 year anniversaries