Vultr - GPU Solutions Engineer

• 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)