NVIDIA

4 weeks ago

Senior Solutions Architect, Data Platform GTM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior Solutions Architect to drive go-to-market strategy for NVIDIA’s Data Platform across ISVs, influencing architecture reviews, POCs, benchmarks, and customer enablement. You will collaborate with product, engineering, developer relations, and sales to identify high-impact use cases, build repeatable enablement assets, and guide ISVs on NVIDIA acceleration paths for data platforms and GenAI workflows.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500

Equity and Bonus:Equity

Perks:Equity

Key Requirements

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

Experience:8+ yearsAIData platformsDistributed systemsGTMISVsGenAI

Education:Bachelor's

Skills:CommunicationPresentationCollaboration

Languages:English

Tech Stack:CUDAC++PythonSparkRAPIDSCuDFPolarsVeloxCuVSNeMo RetrieverDuckDBTrinoPresto

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

4 weeks ago

Senior Solutions Architect, Data Platform GTM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500

Equity and Bonus:Equity

Perks:Equity

Key Requirements

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

Experience:8+ yearsAIData platformsDistributed systemsGTMISVsGenAI

Education:Bachelor's

Skills:CommunicationPresentationCollaboration

Languages:English

Tech Stack:CUDAC++PythonSparkRAPIDSCuDFPolarsVeloxCuVSNeMo RetrieverDuckDBTrinoPresto

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor