Solutions Engineer – Global Partner Cloud & AI $55-$58/hr | W2 6-Month Contract | Remote We are seeking a Solutions Engineer to join our dynamic partner sales team. As a Global Partner SE, you will activate partners to drive adoption of our AI solutions across various industries. You will help partners identify and build Secure Factory with NVIDIA AI Use Cases for both core and edge. In addition, you will work with partners to develop and deliver Secure AI Factory workshops. This role requires a deep understanding of partners GTM best practices, Data Center Compute & Networking. 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 the full suite of Cloud and AI infrastructure solutions. You will help them position data center virtualization and systems architecture solutions effectively against competing offerings. You will be passionate about presales engineering activities, demonstrating solutions and architectures in Cloud and AI infrastructure. You will build awareness, fostering education and driving energy for AI with both internal and external partner team members, etc. You will also act as a link between Global and APO sales and partner teams. In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities. You will play an important role in the design, development and promotion of AI Solutions with our partners and address challenges.

Minimum Qualifications

Seeking 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 along with Virtualization or X86 Architectures or Operating Systems Experienced 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. Preferred Qualifications 6+ years knowledge of any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience Bachelor's Degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field. 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 - 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. Del Oro Consulting, Inc. is an equal opportunity employer. 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.