GPU Solutions Engineer

Role description

Role Overview

Vultr is seeking a highly skilled and experienced GPU Solutions Engineer to lead customers designing, implementing, and optimizing solutions on Vultr’s GPU platform.

What You Will Do

Engage collaboratively with customers to understand their objectives, create innovative Solutions and Architectures, and educate customers on the value that Vultr provides.

Why It Might Be a Fit

The ideal candidate is technically strong and highly collaborative, with significant hands-on experience in cloud infrastructure, networking, Kubernetes, and modern GPU computing architectures.

Requirements

• Highly motivated / self-starter with a sense of ownership, willingness to learn, and desire to succeed.
• A collegial and collaborative approach working across Departments and Seniority levels within Vultr’s Customers and Vultr.
• Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making.
• Ability to articulate technical and business concepts to diverse stakeholders.
• Demonstrated willingness and ability to dig into unfamiliar territories to solve complex challenges.
• Experience with structured sales engagement models MEDDPIC, Sandler, BANT, etc.
• Expertise in the GPU ecosystem from GPU Hardware, Bare Metal and Virtualized Cloud Delivery, AL & ML frameworks and AI & ML Ops orchestration.
• Extensive knowledge of AI Models / Algorithms, Libraries, Compilers and Runtimes for diverse silicon ecosystems.
• GPU benchmarking and workload testing experience.
• Demonstrated experience with workload orchestration, Kubernetes and Slurm.
• System and Cluster level understanding of x86 server hardware architecture and Linux OS.
• Hands on with Infrastructure as Code methodologies including, Terraform, Ansible, etc.
• Networking experience, including knowledge of Infiniband, RoCE / UEC Ethernet, or other networking protocols.
• NCCL / RCCL performance optimization.
• High Performance Storage experience, knowledge of performant multi-user offerings including Open Source and COTS options.
• 5+ years of design, implementation, or consulting in applications and infrastructure experience
• 4+ years of Solution Engineering, Sales Engineering, Professional Services or Consulting experience
• 3+ year of experience deploying GPU-based AI, ML & Analytics solutions (e.g., for Training, Inference, Fine Tuning, Reinforcement Learning, Agentic Harnesses)

Benefits

• 100% company-paid insurance premiums for employee medical, dental and vision plans.
• 401(k) plan that matches 100% up to 4%, with immediate vesting
• Professional Development Reimbursement of $2,500 each year
• 11 Holidays + Paid Time Off Accrual + Rollover Plan
• Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
• $500 stipend for remote office setup in first year + $400 each following year
• Internet reimbursement up to $75 per month
• Gym membership reimbursement up to $50 per month
• Company paid Wellable subscription