GPU Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate effectively with customers to grasp their goals.

• Develop innovative solutions and architectures to address intricate customer use cases.

• Build relationships within customer organizations beyond the account executives.

• Inform customers about the value that Vultr offers and broaden their understanding of potential opportunities.

• Engage in comprehensive architectural discussions and design sessions to produce top-tier solutions at Vultr.

• Work alongside Engineering and Product Management to convey customer insights that influence product and feature development.

• Lead the resolution of complex challenges faced by customers.

• Collaborate with Marketing to produce reference architectures, white papers, workshops, and demonstrations for both internal and external audiences.

• Willingness to travel 25% of the time.

⛳️ Requirements

• Highly driven self-starter with a strong sense of ownership, eagerness to learn, and commitment to success.

• A cooperative and collaborative mindset when engaging with various departments and seniority levels within Vultr and its customers.

• Proficient in influencing, guiding, and facilitating decision-making among stakeholders and peers.

• Capable of articulating both technical and business concepts to a diverse range of stakeholders.

• Proven ability and willingness to explore unfamiliar areas to tackle complex challenges.

• Familiarity with structured sales engagement frameworks such as MEDDPIC, Sandler, BANT, etc.

• Expertise in the GPU ecosystem, covering GPU hardware, bare metal and virtualized cloud delivery, as well as AI & ML frameworks and orchestration.

• Comprehensive knowledge of AI models, algorithms, libraries, compilers, and runtimes across various silicon architectures.

• Experience in GPU benchmarking and workload testing.

• Demonstrated proficiency in workload orchestration using Kubernetes and Slurm.

• Understanding of system and cluster-level x86 server hardware architecture and Linux operating systems.

• Practical experience with Infrastructure as Code methodologies, including Terraform and Ansible.

• Networking expertise, including familiarity with Infiniband, RoCE / UEC Ethernet, or other networking protocols.

• Experience in optimizing NCCL / RCCL performance.

• Background in high-performance storage solutions and knowledge of efficient multi-user offerings, including open-source and COTS options.

• Minimum of 5 years in design, implementation, or consulting related to applications and infrastructure.

• At least 4 years of experience in solution engineering, sales engineering, professional services, or consulting roles.

• A minimum of 3 years of experience in deploying GPU-based AI, ML, and analytics solutions (e.g., for training, inference, fine-tuning, reinforcement learning, and agentic harnesses).

🏝️ Benefits

• 100% of company-paid insurance premiums for employee medical, dental, and vision plans.

• 401(k) plan with a 100% match up to 4%, along with immediate vesting.

• Professional Development Reimbursement of $2,500 annually.

• 11 Holidays plus Paid Time Off Accrual with a Rollover Plan.

• Vultr values commitment! Enjoy increased PTO at the 3-year and 10-year anniversaries, a 1-month paid sabbatical every 5 years, and an annual anniversary bonus.

• $500 stipend for remote office setup in the first year, followed by $400 each subsequent year.

• Internet reimbursement of up to $75 per month.

• Gym membership reimbursement of up to $50 per month.

• Company-paid Wellable subscription.