Developer Relations Manager – Data Processing, Databases

This is a fully remote position, open to applicants in California.

📋 Description

• Develop and enhance technical proficiency in analytical data processing, focusing on query execution and optimization, columnar and vectorized processing, and distributed execution.

• Act as a technical champion and reliable resource for developers involved in building and operating analytical data systems.

• Promote the use of NVIDIA technologies such as Sirius, cuCascade, RAPIDS, cuDF, nvCOMP, and CUDA-X Data Processing.

• Showcase and integrate NVIDIA's data processing stack into query engines and OLAP databases across cloud, hybrid, and on-premises deployments.

• Offer reference implementations, integration guides, onboarding assistance, and hands-on engineering support.

• Monitor analytical data processing engines, execution models, storage formats, and alternative acceleration methods.

• Convey ecosystem insights to NVIDIA engineering, product, marketing, and global field teams.

• Work alongside engine architects and NVIDIA engineering to resolve integration challenges and establish best practices.

• Define the integration interface between NVIDIA GPU data-processing libraries and third-party query engines.

• Specify necessary APIs and advance successful integration patterns.

• Design and execute TPC-H, TPC-DS, and ClickBench measurements against CPU baselines.

• Publish benchmark results, evaluate acceleration effectiveness, and identify needed adjustments.

• Co-manage the acceleration roadmap with projects and partners.

• Gain ecosystem influence through upstream contributions, public design reviews, and collaborative architecture and roadmap planning.

⛳️ Requirements

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.

• Over 6 years of professional experience in the technology sector.

• Practical experience with analytical data systems.

• Background in software engineering, developer relations, technical partnerships, solutions architecture, or product management.

• Equivalent proof of domain expertise may replace years of experience, including published systems research, maintaining widely used data systems, or significant contributions to a query engine or data processing library.

• Experience in working with or supporting open-source data initiatives and contributor communities, commercial data platform and database ISVs, or data services from cloud service providers.

• Proficiency in query execution and optimization, vectorized and columnar processing, joins and aggregation, and storage formats like Parquet and Arrow.

• Comfortable reading and contributing to a substantial C++, Rust, or Python codebase.

• Ability to collaborate across functions on architecture, feedback, technical presentations, and demonstrations.

• Capability to manage and execute technical projects and resolve integration issues.

• Skill in conveying complex concepts to both technical and non-technical audiences.

• Strong communication abilities and a passion for assisting developers in innovating with NVIDIA tools and technologies.

• Preferred notable qualifications include experience as an open-source committer, maintainer, or sustained contributor; successful acceleration-layer or commercial data-platform integrations; published or presented systems work; partner engineering leadership experience; and familiarity with CUDA, RAPIDS, cuDF, nvCOMP, and CUDA-X libraries.

🏝️ Benefits

• Competitive salaries

• Generous benefits package

• Equity

• Additional benefits