NVIDIA · 15 hours ago
Solutions Architect, Generative AI
Santa Clara, CA
Full-time
Onsite
Senior Level
5+ years expNVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join their growing team focused on partner enablement for Generative AI. In this role, you will lead as a technical expert and hands-on developer, building innovative proof-of-concept solutions and reference architectures for AI applications using NVIDIA's Generative AI platforms.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms
Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to productions
Define the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring they are built on standardized and reproducible GPU-accelerated workflows
Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads
Qualification
Required
MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience)
5+ years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or deep learning engineer
Consistent track record of building enterprise-grade agentic AI systems using open-source models and solid foundation in deep learning, with a particular emphasis on generative models
Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept
Strong coding development and proficiency in Python, C++ and Deep Learning frameworks (PyTorch, or TensorFlow)
Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers
Preferred
Demonstrate expertise and hands-on experience with NVIDIA AI platforms
Understanding of different advanced agent architectures and emerging communication protocols (MCP or Google A2A)
Excellent practical knowledge of Generative AI and LLM development. Ability to train GPT and Megatron Models
Understanding of MLOps life cycle management and experience with LLMOps workflows
Experience with CUDA programming and benchmarking and analyzing performance foundation models
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
2026-01-25
Unified Communications fuel big enterprise success | CIO
2026-01-25
2026-01-25
Company data provided by crunchbase