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.
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.
Skills Required
- End-to-end architecture/design experience across multiple technology areas for data center and hybrid cloud solutions.
- Public, hybrid and private cloud computing and architecture experience along with Virtualization or X86 architectures or Operating Systems.
- Design and/or deployment experience of Data Center solutions including traditional standalone and 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.
- Eligible to work in the United States and able to pass required background checks.
- 6+ years knowledge 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 a plus).
- Experience working with partners to build and deliver GTM activities.
- Knowledge and understanding of networking protocols and technologies.
- Excellent presentation skills and ability to deliver engaging workshops to technical and non-technical audiences on AI topics.
- AI experience with NVIDIA, IBM, Microsoft, Dell, NetApp, HPE, or other AI vendors.
- In-depth understanding of language models such as GPT-3, BERT, or similar architectures.
- Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience deploying LLM models in cloud environments (AWS, Azure, GCP) and on-premises infrastructure.
- Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes).
What We Do
Del Oro Consulting aims to address our clients’ critical business problems by providing the highest level of consulting expertise tailored to their individual needs. Our business is built on long-lasting relationships with clients and consultants, and a reputation for superior quality work. We are focused on individualized customer care, relationships, and partnership. Our clients know they can trust us to provide the best expertise available and we are committed to successful project results at the best value. Integrated Solutions Del Oro Consulting specializes in a range of consulting services for all areas or our clients’ business. See our Services page for our wide array of capabilities. The majority of our clients are high-tech companies in the computer and communications, enterprise software, and networking industries. Teamwork and Collaboration We work closely with our clients to help them make an immediate and cost-effective impact. We collaborate seamlessly across multiple disciplines and organizations - giving you our full commitment to quality deliverables that are fine-tuned to your business needs, budgets and resources. Our Expertise Founded in 2003, Del Oro Consulting is a privately-held and self-funded company, specializing in meeting the needs of our high-tech clients
