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About the Role

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers building solutions with our newest AI technology. This role focuses on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows. You will partner closely with ISVs, product, engineering, developer relations, business development, sales, and segment teams to identify high-impact use cases, develop early POCs, and build repeatable enablement.

Responsibilities

Drive technical GTM with Data Platform ISVs across query engines, databases, analytics platforms, data processing frameworks, and AI data infrastructure.
Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and customer-facing enablement.
Help ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA libraries.
Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training.
Support emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflows.

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics.
Strong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing data.
Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelines.
Experience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering role.
Excellent presentation, communication and collaboration skills.

Skills

NVIDIA GPUs and software libraries (NeMo Retriever, cuVS, RAPIDS, cuDF)
RAG, agentic AI, unstructured data processing, or inference and data platform integration
C/C++ programming, including debugging, profiling, code optimization, performance analysis, and test design
Parallel programming and distributed computing platforms

Location

Remote

Work Type

Full-time

Experience Level

8+ years

Education Level

BS, MS, or PhD

Salary/Compensations

184,000 USD - 287,500 USD

Benefits

Equity

About the Company

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.