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 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
- Travel up to 20% for conferences and customers may be required
What 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 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
Ways To Stand Out From The Crowd:- Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever, cuVS, RAPIDS and cuDF
- Background in RAG, agentic AI, unstructured data processing, or inference and data platform integration
- Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
- Familiarity with parallel programming and distributed computing platforms
Your 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.
