Senior Solutions Architect, Data Platform GTM

Nvidia

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $236k
$143k most similar roles pay here $303k

This role pays more than 82% of similar roles. Most pay $162,487–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 950 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 939 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, Data Platform GTM

Role Posting Log in to save

As a solutions architect at NVIDIA, you will join a dynamic team focused on enabling Independent Software Vendors (ISVs) to integrate and commercialize NVIDIA’s cutting-edge acceleration technologies in data processing, analytics, and AI workflows. Your day-to-day responsibilities include driving technical go-to-market strategies with ISVs, conducting discovery sessions, architecture reviews, and proof-of-concept development. You will also build repeatable enablement assets such as reference architectures and customer training materials to support emerging use cases like unstructured data processing and retrieval workflows for generative AI applications. The role requires extensive experience in machine learning, deep learning, and data analytics, along with hands-on familiarity with NVIDIA GPUs and software libraries including cuDF, Spark RAPIDS, and NeMo Retriever. Strong skills in C/C++ programming are essential, as well as a background in distributed systems and data ecosystems like Spark, Pandas, Polars, and Trino.

Skills

NVIDIA CUDA cuDF RAPIDS Spark Pandas Polars DuckDB Trino Presto Velox C C++ Python Docker Kubernetes CI/CD GitHub GitLab Jenkins

What you'll do

  • Drive technical go-to-market strategies with Data Platform ISVs for NVIDIA acceleration technologies.
  • Partner with ISVs to conduct discovery sessions, architecture reviews, and develop proof-of-concepts.
  • Identify optimal NVIDIA acceleration paths for ISV platforms using cuDF, Spark RAPIDS, Polars, Velox, and related libraries.
  • Create repeatable go-to-market assets like reference architectures, technical playbooks, and customer training materials.
  • Support emerging data platform use cases for GenAI, including unstructured data processing and retrieval workflows.

What we're looking for

  • 8+ years of experience with Machine Learning, Deep Learning, and Data Analytics.
  • Strong background in data platforms, distributed systems, analytics, databases, or data management.
  • Familiarity with data ecosystems like Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, and unstructured data pipelines.
  • Experience working with ISVs, partners, or enterprise customers in a solutions architecture role.
  • Hands-on experience with NVIDIA GPUs and software libraries including NeMo Retriever, cuVS, RAPIDS, and cuDF.
  • Background in RAG, agentic AI, unstructured data processing, inference, and data platform integration.
  • Excellent C/C++ programming skills for debugging, profiling, code optimization, performance analysis, and test design.

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