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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), Communications Protocols, Nvidia CUDA, Computer Programming, Databases, Extract Transform Load (ETL), Software Debugging, Data Intelligence, Open Source Technology, Software Engineering, Supercomputing, Data Processing, Graphics Processing Unit (GPU), Large Language Models, Parallel Computation, Information Technology, Free and Open-Source Software, Presto, C++14
- **Published:** August 16, 2026
- **Apply:** https://www.juju.com/job/00000000gnfqkh

## About the Role

+ 8+ 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

 + You care deeply about robust, readable, high-performance code

Ways to stand out from the crowd:

 + Expertise in high-performance communication protocols (e.g., UCX, NCCL) and distributed algorithms for query engines

 + Familiarity with RAPIDS cuDF (https://github.com/rapidsai/cudf)

 + Experience in distributed workflow development and debugging

 + Passion for open-source software development and publishing your work in technical blogs and conferences

## Description

As part of NVIDIA's Analytics and Data Intelligence (ADI) group, this team develops "libcudf"-the open-source CUDA C++ library that accelerates database and DataFrame operations. With flexible I/O, blazing-fast merging, aggregating, and filtering, our library serves diverse domains, including business intelligence, genomics, LLM training, and more. We use the latest tools in modern C++ and CUDA to produce software with elegant design, broad feature coverage, and best-in-class performance.

The team is looking for an outstanding engineer and/or scientist to apply their parallel programming skills to accelerate open-source software libraries for GPU-based data processing. In this position, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. In addition, 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, joins, aggregations, and more. Come bring your inspiration and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you'll be doing:

 + Own development for "UcxExchange" in Velox (30%)

 + GPU-to-GPU communication in Presto: https://github.com/facebookincubator/velox/tree/main/velox/experimental/ucx-exchange

 + Drive the feature roadmap, improve performance, and ensure correctness

 + Optimize multi-node performance for analytical queries with Presto GPU (30%)


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