Solutions Engineer (Remote)

Responsibilities

• Helping partners identify and build Secure Factory with NVIDIA AI Use Cases for core and edge.
• Developing and delivering Secure AI Factory workshops.
• Requiring deep understanding of partners' GTM best practices, Data Center Compute & Networking.

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 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.

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.

Skills

• End-to-end architecture/design work across multiple technology areas for DC and hybrid cloud solutions.
• Data Center Compute & Networking expertise.
• Networking protocols and technologies knowledge.
• AI infrastructure and language models understanding.
• Containerization and orchestration tools familiarity.

Benefits

• Competitive compensation package including base salary range of $55-$58/hr.
• 6-month contract position.
• Remote work option.

Pay

• $55-$58/hr

Schedule

• Remote work option.