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
Experience in data science workflow development and debugging
Passion for publishing your work in technical blogs and 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 versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar Jobs
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
