10 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Build technical expertise and serve as an advocate and trusted resource for developers working on analytical data systems.
- Integrate NVIDIA data-processing libraries, SDKs, and tools into query engines and OLAP databases across cloud, hybrid, and on-premises deployments.
- Create reference implementations, integration guides, and hands-on technical support for developers, projects, and partners.
- Define integration boundaries between NVIDIA GPU libraries and third-party query engines, including plan handoff, execution, memory ownership, and required APIs.
- Collaborate with engine architects and NVIDIA engineering to resolve integration issues and establish reusable best practices.
- Track analytical data-processing ecosystems, execution models, storage formats, and competing acceleration approaches.
- Design, run, and publish rigorous TPC-H, TPC-DS, and ClickBench benchmarks against CPU baselines, including cold- and warm-run analysis.
- Own acceleration roadmaps with partner projects and contribute through upstream development, public design reviews, and joint architecture planning.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
- At least 6 years of professional technology-industry experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including hands-on analytical data-systems experience.
- Experience working with open-source data projects and contributor communities, commercial data-platform and database ISVs, or cloud-provider data services.
- Working proficiency in query execution and optimization, vectorized and columnar processing, joins, aggregation, and storage formats such as Parquet and Arrow.
- Ability to read and contribute to large C++, Rust, or Python codebases.
- Experience collaborating cross-functionally, delivering technical presentations or demos, managing technical projects, and communicating complex concepts to technical and non-technical audiences.
- Preferred experience includes maintaining or contributing substantially to a widely used open-source data system, shipping a commercial acceleration integration, publishing systems research, partnering with engineering leadership, and working with CUDA and GPU acceleration platforms.
Benefits
- Competitive salary, equity, and a generous benefits package.
- Base salary varies by location, experience, and other objective job-related factors; the stated ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5.
- The application will be accepted at least until November 3, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.