Developer Relations Manager – Data Processing, Databases

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 developers building and operating analytical data systems. • Drive adoption of NVIDIA technologies including Sirius, cuCascade, RAPIDS, cuDF, nvCOMP, and CUDA-X Data Processing. • Demonstrate and integrate NVIDIA’s data processing stack into query engines and OLAP databases across cloud, hybrid, and on-prem deployments. • Provide reference implementations, integration guides, onboarding, and hands-on engineering support. • Track analytical data processing engines, execution models, storage formats, and competing acceleration approaches. • Share ecosystem insights with NVIDIA engineering, product, marketing, and worldwide field teams. • Collaborate with engine architects and NVIDIA engineering to resolve integration problems and establish best practices. • Define the integration surface between NVIDIA GPU data-processing libraries and third-party query engines. • Specify required APIs and carry successful integration patterns forward. • Design and run TPC-H, TPC-DS, and ClickBench measurements against CPU baselines. • Publish benchmark results, assess acceleration effectiveness, and identify required changes. • Own the acceleration roadmap jointly with projects and partners. • Earn ecosystem influence through upstream contributions, public design reviews, and joint architecture and roadmap planning.

🎯 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. • Hands-on experience with analytical data systems. • Experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management. • Equivalent evidence of domain authority may substitute for years of experience, including published systems research, maintainership of a widely used data system, or core contributions to a query engine or data processing library. • Experience working with or supporting open source data projects and contributor communities, commercial data platform and database ISVs, or cloud service provider data services. • Working proficiency in 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. • Ability to collaborate cross-functionally on architecture, feedback, technical presentations, and demos. • Ability to manage and implement technical projects and solve integration challenges. • Ability to communicate complex ideas to technical and non-technical audiences. • Strong communication skills and passion for helping developers innovate with NVIDIA tools and technology. • Preferred standout qualifications include open source committer, maintainer, or sustained contributor experience; shipped 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 • Benefits