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About the Role

Seeking a Solutions Engineer to join a partner sales team, focusing on activating partners to drive adoption of AI solutions. This role involves helping partners identify and build Secure Factory with NVIDIA AI Use Cases, and developing/delivering Secure AI Factory workshops. Requires deep understanding of partner GTM best practices, Data Center Compute & Networking.

Responsibilities

• Activate partners to drive adoption of AI solutions across various industries.
• Help partners identify and build Secure Factory with NVIDIA AI Use Cases for both core and edge.
• Work with partners to develop and deliver Secure AI Factory workshops.
• Facilitate the success of partner Field Sales teams in selling Cloud and AI infrastructure solutions.
• Help partners position data center virtualization and systems architecture solutions effectively.
• Build awareness, foster education, and drive energy for AI with internal and external partner team members.
• Act as a link between Global and APO sales and partner teams.
• Showcase AI solutions/products, its potential, and promote its tactical and technical responsibilities.
• Play an important role in the design, development, and promotion of AI Solutions with partners and address challenges.

Requirements

• Significant experience with end-to-end architecture/design work across multiple technology areas for DC and hybrid cloud solutions.
• Public, hybrid, and private cloud computing and architecture experience.
• Virtualization or X86 Architectures or Operating Systems experience.
• Experience in the design and/or deployment of Data Center solutions including traditional DC standalone design, VXLAN fabric-based architectures.
• Experience providing consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.
• 6+ years knowledge of any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience.
• Experience working with partners to build and deliver GTM activities.
• Knowledge and understanding of networking protocols and technologies.
• Excellent presentation skills - ability to deliver engaging workshops to both technical and non-technical audiences on AI topics.
• 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 in 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.

Skills

• AI solutions
• Secure Factory with NVIDIA AI Use Cases
• Secure AI Factory workshops
• GTM best practices
• Data Center Compute & Networking
• Cloud and AI infrastructure solutions
• Data center virtualization
• Systems architecture
• Presales engineering
• Demonstrating solutions and architectures
• AI
• Networking protocols and technologies
• Presentation skills
• Nvidia
• IBM
• Microsoft
• Dell
• NetApp
• HPE
• Language models
• GPT-3
• BERT
• TensorFlow
• PyTorch
• Hugging Face Transformers
• AWS
• Azure
• GCP
• Docker
• Kubernetes

Location

• Remote

Work Type

• W2
• 6-Month Contract
• Remote

Experience Level

• Significant experience
• 6+ years

Education Level

• Bachelor's Degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Advanced degree is a plus.

Salary/Compensations

• $55-$58/hr

About the Company

• Del Oro Consulting, Inc. is an equal opportunity employer.

Equal Opportunity

• We are committed to creating an inclusive environment for all employees and applicants and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
• All employment is contingent upon the successful completion of required background checks and eligibility to work in the United States.