Senior Solutions Architect, Data Platform GTM

About the role

NVIDIA is seeking AI Solutions Architects to assist and support customers using our latest AI technology. This role focuses on driving technical go-to-market with data platform ISVs, identifying high-impact use cases, and building repeatable enablement resources.

Responsibilities

• Drive technical go-to-market 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.

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

Qualifications

• 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

Skills

• 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

Benefits

Base salary range: $184,000 - $287,500. Eligible for equity and benefits.

Pay

Base salary will be determined based on location, experience, and the pay of employees in similar positions.

Schedule

Up to 20% travel for conferences and customers may be required.