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# Senior Software Engineer, C++ and CUDA - Analytics...

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, C++ (Programming Language), Nvidia CUDA, Computer Programming, Databases, Data Centers, Extract Transform Load (ETL), Software Debugging, Data Intelligence, OpenMP, Software Engineering, Supercomputing, Data Processing, Graphics Processing Unit (GPU), Apache Spark, Parallel Computation, Information Technology, Free and Open-Source Software, Presto
- **Published:** July 5, 2026
- **Apply:** https://www.juju.com/job/00000000gdz607

## About the Role

+ 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.

## Description

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


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