NVIDIA · 1 day ago
Solution Architect - OEM AI Software
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$120K/yr - $190K/yr
3+ years expNVIDIA is seeking outstanding Solutions Architect to help grow their OEM enterprise AI business. The role involves working with OEM partners to architect enterprise-grade generative AI software solutions and collaborating closely with various teams to support pre-sales activities and refine generative AI solutions.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Thaddeus Dickens
Responsibilities
Working with our OEM partners to architect enterprise-grade end-to-end generative AI SW solutions
Collaborate closely with OEM partners' SW development teams to help craft world-class joint AI solutions
Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of Generative AI capabilities
Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software
Engage directly with customers/partners to understand their requirements and challenges
Lead workshops and design sessions to define and refine generative AI solutions with a strong emphasis on enterprise workflows
Implement strategies for efficient and effective training of LLMs to achieve peak performance
Design and implement RAG-based workflows to improve content generation and information retrieval
Qualification
Required
3-5+ years of hands-on experience as a solution architect or similar with a specific focus on AI solutions
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
Proven track record of successfully deploying and optimizing Generative AI models for inference in production environments
Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs
Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference
Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical collaborators
Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences
Preferred
Experience in deploying Generative AI models in cloud environments and on-premises infrastructures
Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM
Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization
Familiarity with Docker or equivalent experience in containerization technologies and Kubernetes for scalable and efficient model deployment
Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-08
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