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

About this role

We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA’s Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. 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 to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

**What you’ll be doing:**

• Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows
• Implementing solutions in C++ and CUDA
• Contributing to open source projects, such as cuDF, Velox, Presto and Spark
• Benchmarking, profiling, and optimizing code
• Working closely with the world’s top experts in GPU hardware, software and workflows

**What we need to see:**

• 5+ 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
• Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.
• You care deeply about robust, readable, high-performance code
• Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

**Ways to stand out from the crowd:**

• Familiarity with RAPIDS [cuDF](https://github.com/rapidsai/cudf)
• Experience in data science workflow development and debugging
• Passion for publishing your work in technical blogs and conferences.

With competitive s...