We're hiring engineers to work on RAPIDS, a suite of open source software libraries that accelerate end-to-end data processing and vector search algorithms on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization, but exposes that high-performance GPU compute through user-friendly languages like Java.
What you'll do
- Analyze, design, and implement optimized GPU algorithms for large-scale vector search, databases, and machine learning.
- Expand and improve the integration of NVIDIA cuVS into relevant high-level vector search libraries and vector databases.
What you need
- BS or MS degree in Computer Science, Computer Engineering, or a related subject area, or equivalent experience.
