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.

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.

Responsibilities:

• Own development for UcxExchange in Velox (30%)
• GPU-to-GPU communication in Presto
• 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
• Lead projects of interest in Presto, Velox, cuDF (40%)
• Such as operator completeness, GPU memory oversubscription, efficient CPU fallback
• Plus your ideas

Requirements:

• 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
• You care deeply about robust, readable, high-performance code

Nice to Have:

• Expertise in high-performance communication protocols (e.g., UCX, NCCL) and distributed algorithms for query engines
• Familiarity with RAPIDS cuDF
• Experience in distributed workflow development and debugging
• Passion for open-source software development and publishing your work in technical blogs and conferences