Senior Solutions Architect, Data Platform GTM

NVIDIA; New York (NY); Hybrid; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is looking for an experienced AI Solutions Architect based in New York, NY. This role involves assisting customers building solutions with AI technology and driving technical strategies with data platform ISVs. The ideal candidate will have over 8 years of experience in Machine Learning and Data Analytics.

The position offers a base salary range of $184,000 to $287,500, along with equity and benefits. Applications will be accepted until June 28, 2026.

Qualifications

• 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics.
• Strong background in data platforms, distributed systems, analytics, databases.
• Experience working with ISVs, partners, or enterprise customers.

Responsibilities

• Drive technical GTM with Data Platform ISVs across various platforms.
• Help ISVs identify the right NVIDIA acceleration paths for their platforms.
• Support emerging data platform use cases for GenAI.

Skills

Machine Learning

Deep Learning

Data Analytics

C/C++ programming

Excellent presentation skills

Education

BS, MS, or PhD in Computer Science or related fields

Tools

NVIDIA GPUs

Spark

Pandas

Velox

Job description

Overview

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?

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.

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.

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