We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate NVIDIA's open source software suite for data science, RAPIDS. RAPIDS combines the performance of modern GPUs with the ease of use of Python and Scala APIs. You will work on building the computational core for dataframe and database accelerators - a highly-optimized C++ and CUDA library that leverages the parallel nature of GPUs to accelerate fundamental data operations from load 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 RAPIDS projects, such as cuDF

• Benchmarking, profiling, and optimizing code

• Working closely with the world’s top experts in GPU hardware, software and workflows

What we need to see:

• 3+ 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

• Experience in data science workflow development and debugging 

• Passion for publishing your work in technical blogs, conferences

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.