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

NVIDIA•Santa Clara, WA

22h

About The Position

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!

Requirements

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

Nice To Haves

Familiarity with RAPIDS cuDF
Experience in data science workflow development and debugging
Passion for publishing your work in technical blogs and conferences.

Responsibilities

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