Solutions Engineer – Global Partner Cloud & AI

$55-$58/hr | W2 6-Month Contract | Remote

We are seeking a dynamic Solutions Engineer to join our partner sales team. As a Global Partner SE, you will be instrumental in activating partners to drive the adoption of our AI solutions across various industries. Your focus will be on helping partners identify and build Secure Factory with NVIDIA AI Use Cases for both core and edge deployments, as well as developing and delivering Secure AI Factory workshops. This role demands a deep understanding of partner Go-To-Market (GTM) best practices, Data Center Compute, and Networking.

About the Role

As a Partner Cloud and AI Infrastructure Solutions Engineer supporting channel GTM activities, you will play a pivotal role in facilitating the success of partner Field Sales teams in selling our comprehensive suite of Cloud and AI infrastructure solutions. You will empower them to effectively position data center virtualization and systems architecture solutions against competing offerings. This role requires a passion for presales engineering activities, including demonstrating solutions and architectures in Cloud and AI infrastructure.

You will build awareness, foster education, and drive enthusiasm for AI among both internal and external partner team members. You will also serve as a key liaison between Global and APO sales and partner teams, showcasing AI solutions/products, their potential, and promoting their tactical and technical responsibilities. Your contributions will be vital in the design, development, and promotion of AI Solutions with our partners, addressing complex challenges.

Minimum Qualifications

• Significant experience with end-to-end architecture and design across multiple technology areas for Data Center (DC) and hybrid cloud solutions.
• Experience with public, hybrid, and private cloud computing and architecture.
• Proficiency in Virtualization or X86 Architectures or Operating Systems.
• Experience in the design and/or deployment of Data Center solutions, including traditional DC standalone design and VXLAN fabric-based architectures.
• Experience providing consumable documentation of standard methodologies for deployment related to application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.

Preferred Qualifications

• 6+ years of experience in any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure, or Data Center Networking.
• Bachelor’s Degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or a related field. An advanced degree is a plus.
• Experience working with partners to build and deliver GTM activities.
• Knowledge and understanding of networking protocols and technologies.
• Excellent presentation skills, with the ability to deliver engaging workshops on AI topics to both technical and non-technical audiences.
• AI experience with NVIDIA, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors.
• In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
• Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.