Senior GPU Dataframe Engineer (C++/CUDA)

NVIDIA Corporation; California; On-site; USD 240,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation’s Analytics and Data Intelligence (ADI) group seeks an outstanding engineer and/or scientist to apply parallel programming skills to accelerate open-source software libraries for GPU-based data processing.

You will drive speed‑of‑light performance across single workstations to multi-node GPU clusters, building the computational core for DataFrame and database accelerators in highly optimized C++ and CUDA.

Qualifications

• 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

Responsibilities

• Own development for “UcxExchange” in Velox (30%).
• 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

Skills

Modern C++

Parallel programming

Distributed algorithms

Robust high‑performance code

Education

MS/PhD in CS/Engineering or related field

Equivalent experience

Tools

UCX

NCCL

Velox

Presto GPU

cuDF

Job description

NVIDIA Corporation’s Analytics and Data Intelligence (ADI) group seeks an outstanding engineer and/or scientist to apply parallel programming skills to accelerate open-source software libraries for GPU-based data processing.

You will drive speed‑of‑light performance across single workstations to multi-node GPU clusters, building the computational core for DataFrame and database accelerators in highly optimized C++ and CUDA.