The role is for an engineer or scientist in NVIDIA's Analytics and Data Intelligence group, focusing on the development of the open-source CUDA C++ library 'libcudf' for accelerating database and DataFrame operations. The team seeks to enhance performance in structured data processing across various hardware setups, from single workstations to multi-node GPU supercomputers. The position involves building optimized C++ and CUDA libraries for data operations, including loading, parsing, and aggregations. Candidates will contribute to an innovative open-source software suite.

• 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
• A commitment to writing robust, readable, high-performance code

• Own development for 'UcxExchange' in Velox
• Drive the feature roadmap, improve performance, and ensure correctness
• Optimize multi-node performance for analytical queries with Presto GPU
• Lead projects of interest in Presto, Velox, and cuDF

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.