NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What you'll be doing:
One of the perks of joining NVIDIA is that you’ll enjoy access to incredible emerging technology. You will use our NVIDIA AI platform to demonstrate end-to-end deployment of AI solutions in exciting segments such as healthcare, manufacturing, and financial services.
Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts.
Build and lead proof-of-concept engagements for novel agentic AI solutions that bring these AI workflows to life.
Design and advise on multi-cloud and hybrid-platform strategies and deployments, ensuring customers can bring to bear the best tools for their specific business challenges.
Lead live workshops, working sessions, and trainings to ensure partner and customer success.
Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.
Cultivate learning and improvement by providing valuable feedback to sales and product specialists.
What we need to see:
Over 5 years crafting scalable agentic AI systems and complex LLM-powered workflows.
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring.
Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack).
Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability.
Strong understanding of modern GenAI ecosystem and LLM architectures. Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA.
Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.
Passion for learning and experience crafting educational materials within the AI or Cloud domain.
Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.
Strong communication skills and experience working in external-facing roles. Comfortable working in a highly collaborative environment.
You will also be eligible for equity and .
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