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.Skills Required
- 8+ years experience in Computer Science or Software Engineering
- MS or PhD in computer science, engineering, or a related field, or equivalent experience
- Strong Modern C++ programming skills
- Parallel programming and GPU programming experience (CUDA) for data processing
- Proven commitment to robust, readable, high-performance code
- Expertise in high-performance communication protocols (UCX, NCCL) and distributed algorithms for query engines
- Familiarity with RAPIDS cuDF / libcudf
- Experience in distributed workflow development and debugging
- Passion for open-source software development and publishing technical work
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”








