Senior Java Acceleration Engineer, Vector Search and Database Acceleration

Job description

NVIDIA is 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. We’re expanding our vector search and database acceleration to include experienced Java engineers. This team builds next-generation building blocks for accelerating Java-based libraries like Lucene and JVector, which are used in widely popular databases like OpenSearch, Solr, and Elasticsearch. You will also work to accelerate popular analytics platforms like Presto. In this role, you will develop, benchmark, and explore novel tuned custom solutions for accelerating vector preprocessing, indexing, and search. This includes end-to-end database acceleration and scale, including introducing scalable architectural improvements, optimizing disk-based indexing and using next-generation hardware to benchmark data volumes not tractable with today’s CPU-centric solutions. This is a great chance to take advantage of your Java CUDA/C++ skills and make a huge impact across a r...