Developer Relations Manager – Data Processing and Databases

NVIDIA is building GPU acceleration for the analytical data processing ecosystem: the query engines, data platforms, and processing frameworks that the world runs its analytics on.

You will work with the maintainers, architects, and engineering leaders behind these systems, in public where the project is open and directly where it is not, on how acceleration lands in what they ship.

Responsibilities:

• Build and deepen technical expertise in analytical data processing, including query execution and optimization, columnar and vectorized processing, and distributed execution.
• Serve as a technical advocate and trusted resource for the developers building and operating these systems, working with cross-functional partners to drive adoption of NVIDIA technologies such as Sirius, cuCascade, RAPIDS, cuDF, nvCOMP, and CUDA-X Data Processing.
• Demonstrate and integrate NVIDIA's data processing stack into real query engines and OLAP databases.
• Support developers, projects, and partners through onboarding and integration.
• Track the analytical data processing ecosystem: new engines, execution models, storage formats, and competing approaches to acceleration.
• Collaborate with engine architects and NVIDIA engineering to resolve integration problems.
• Define the integration surface between NVIDIA's GPU data processing libraries and third-party query engines.
• Own the benchmark evidence for GPU-accelerated analytics.
• Own the acceleration roadmap jointly with the projects and partners you work with.

Requirements:

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• 6+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management.
• Experience working with or supporting open source data projects and their contributor communities, commercial data platform and database ISVs, or cloud service provider data services.
• Working proficiency in the internals of analytical data systems: query execution and optimization, vectorized and columnar processing, joins and aggregation, and storage formats such as Parquet and Arrow.
• Comfortable reading and contributing to a large C++, Rust, or Python codebase.
• Strong communication skills and a passion for helping developers innovate with NVIDIA tools and technology.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity