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GPU Solutions Engineer

Posted 4 days agoViewed

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💎 Seniority level: Senior, 6+ years of design, implementation, or consulting in applications and infrastructure experience; 4+ years of Solution Engineering experience; 3+ years of experience deploying GPU-based AI, ML & Analytics solutions

💸 Salary: 120000.0 - 170000.0 USD per year

🔍 Industry: Cloud Computing

🏢 Company: Vultr👥 101-250💰 Angel almost 11 years agoWeb HostingCloud ComputingCloud StorageCloud Infrastructure

⏳ Experience: 6+ years of design, implementation, or consulting in applications and infrastructure experience; 4+ years of Solution Engineering experience; 3+ years of experience deploying GPU-based AI, ML & Analytics solutions

Requirements:
  • Highly motivated/self-starter with ownership and a willingness to learn.
  • Skilled at influencing and facilitating decision-making in stakeholders.
  • Ability to articulate technical and business concepts to diverse audiences.
  • Eagerness to solve complex problems in unfamiliar territories.
  • Expertise in the GPU ecosystem including hardware, cloud delivery, and AI frameworks.
  • 6+ years of design, implementation, or consulting in applications and infrastructure experience.
  • 4+ years of Solution Engineering experience.
  • 3+ years of deploying GPU-based AI, ML, and Analytics solutions.
  • Extensive knowledge of AI Models, Libraries, Compilers, and Runtimes.
  • System-level understanding of server hardware architecture and Linux OS.
  • Networking experience including Ethernet and Infiniband protocols.
  • Storage experience with multi-user offerings.
Responsibilities:
  • Focus on capturing GPU-based Generative AI / ML / Analytics revenue.
  • Meet potential and current customers to effectively communicate Vultr’s solutions.
  • Engage collaboratively to understand business problems and define proof of concepts.
  • Educate customers on Vultr's value and potential solutions.
  • Participate in architectural discussions to create solutions.
  • Collaborate with Engineering and Product Management for customer success.
  • Partner with Marketing to produce reference architectures and demonstrations.
  • Mentor the Sales team on GPU / AI&ML topics.
  • Travel 20%.
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