Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

As part of NVIDIA’s Analytics and Data Intelligence (ADI) group, this team develops “libcudf”—the open-source CUDA C++ library that accelerates database and DataFrame operations.

With flexible I/O, blazing-fast merging, aggregating, and filtering, our library serves diverse domains, including business intelligence, genomics, LLM training, and more.

We use the latest tools in modern C++ and CUDA to produce software with elegant design, broad feature coverage, and best-in-class performance.

The team is looking for an outstanding engineer and/or scientist to apply their parallel programming skills to accelerate open-source software libraries for GPU-based data processing.

In this position, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers.

In addition, you will be building the computational core for DataFrame and database accelerators—highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing, joins, aggregations, and more.

Come bring your inspiration and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you’ll be doing:

• Own development for “UcxExchange” in Velox (30%) GPU-to-GPU communication in Presto: https://github.com/facebookincubator/velox/tree/main/velox/experimental/ucx-exchange Drive the feature roadmap, improve performance, and ensure correctness
• GPU-to-GPU communication in Presto: https://github.com/facebookincubator/velox/tree/main/velox/experimental/ucx-exchange
• Drive the feature roadmap, improve performance, and ensure correctness
• Optimize multi-node performance for analytical queries with Presto GPU (30%) Targeting both on-prem clusters and public cloud servers
• Targeting both on-prem clusters and public cloud servers
• Lead projects of interest in Presto, Velox, cuDF (40%) Such as operator completeness, GPU memory oversubscription, efficient CPU fallback Plus your ideas
• Such as operator completeness, GPU memory oversubscription, efficient CPU fallback
• Plus your ideas

What we need to see:

• 8+ years of experience in Computer Science or Software Engineering
• MS degree or PhD in computer science, engineering, or a related field, or equivalent experience
• Strong Modern C++ programming skills