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%)
Targeting both on-prem clusters and public cloud servers
Lead projects of interest in Presto, Velox, cuDF (40%)
Such as operator completeness, GPU memory oversubscription, efficient CPU fallback
Plus your ideas
What we need to see:
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
Experience in distributed workflow development and debugging
Passion for open-source software development and 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: Analytic Systems and Data Science. If you're an inspired Engineer or Scientist 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 an inclusive 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.NVIDIA London, England Office
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