Senior Solutions Architect, Data Platform GTM

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is seeking an AI Solutions Architect in Santa Clara, California. This role involves supporting customers in building AI solutions with NVIDIA's technology, driving technical engagements, and collaborating with data platform ISVs.

The ideal candidate has a strong background in Machine Learning, Deep Learning, and Data Analytics and at least 8 years of relevant experience. A comprehensive benefits package and a base salary range of 184,000 - 287,500 USD are offered.

Qualifications

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

Responsibilities

• Drive technical GTM with Data Platform ISVs.
• Build repeatable GTM assets such as reference architectures and demos.
• Support emerging data platform use cases for GenAI.

Skills

Machine Learning

Deep Learning

Data Analytics

C/C++ programming

Presentation skills

Collaboration skills

Education

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics

Tools

NVIDIA software libraries (e.g., NeMo Retriever, cuVS, RAPIDS, cuDF)

Spark

Pandas

Polars

Job description

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.