Senior Solutions Architect, Data Platform GTM

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?This role will focus on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! 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.What You Will Be Doing: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 enablementHelp ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA librariesBuild repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer trainingSupport emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflowsTravel up to 20% for conferences and customers may be requiredWhat We Need To See: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 AnalyticsStrong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing dataFamiliarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelinesExperience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering roleExcellent presentation, communication and collaboration skillsWays To Stand Out From The Crowd:Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever, cuVS, RAPIDS and cuDFBackground in RAG, agentic AI, unstructured data processing, or inference and data platform integrationExcellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test designFamiliarity with parallel programming and distributed computing platformsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 28, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.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.SummaryLocation: US, CA, Santa Clara; US, TX, Remote; US, NY, Remote; US, WA, Remote; US, CA, RemoteType: Full time