Developer Advocate - GPU-Accelerated Analytics

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity compensation

Benefits package

Job summary

NVIDIA seeks a Developer Relations Manager focused on Data Processing and Databases (Finance). You will deepen expertise in analytical data processing, assist developers integrating NVIDIA tools, and help shape how acceleration lands across engines and platforms.

You will drive benchmarks (TPC-H/DS, ClickBench), deliver reference implementations, and collaborate with engineers to define APIs and integration patterns. A strong background in C++, Python, or Rust is preferred.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent).
• 6+ years in software/tech roles with analytics data systems experience.
• Experience with open source data projects and data platforms.
• Proficient in C++, Python, or Rust; reading large codebases.

Responsibilities

• Build deep expertise in analytical data processing and query optimization.
• Advocate for NVIDIA data processing stack with developers and partners.
• Provide onboarding guides, reference implementations, and hands-on help for integrations.
• Track new engines, formats, and acceleration approaches; inform roadmaps.

Skills

Analytical data systems

Query execution & optimization

C++

Python

Rust

Open source contributor

Technical communication

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Parquet

Arrow

Job description

NVIDIA seeks a Developer Relations Manager focused on Data Processing and Databases (Finance). You will deepen expertise in analytical data processing, assist developers integrating NVIDIA tools, and help shape how acceleration lands across engines and platforms.

You will drive benchmarks (TPC-H/DS, ClickBench), deliver reference implementations, and collaborate with engineers to define APIs and integration patterns. A strong background in C++, Python, or Rust is preferred.