Senior CUDA/C++ Engineer — Open‑Source GPU Data Acceleration (Equity)

NVIDIA Corporation; Texas; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Medical benefits

Job summary

NVIDIA Corporation in Texas seeks an outstanding engineer/scientist to apply parallel programming to accelerate open-source libraries for GPU data processing. You will build high-performance C++/CUDA cores for a wide range of data workloads and contribute to open-source projects.

You will own UcxExchange in Velox, optimize multi-node analytics with Presto GPU, and lead initiatives in Presto, Velox, and cuDF, while shaping feature roadmaps and performance.

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%).
• Optimize multi-node performance for analytical queries with Presto GPU (30%).
• Lead projects of interest in Presto, Velox, cuDF (40%).

Skills

Modern C++

Parallel programming

GPU data processing

Code performance

Education

MS or PhD in CS/Engineering

Equivalent experience

Tools

UCX

NCCL

RAPIDS cuDF

Job description

NVIDIA Corporation in Texas seeks an outstanding engineer/scientist to apply parallel programming to accelerate open-source libraries for GPU data processing. You will build high-performance C++/CUDA cores for a wide range of data workloads and contribute to open-source projects.

You will own UcxExchange in Velox, optimize multi-node analytics with Presto GPU, and lead initiatives in Presto, Velox, and cuDF, while shaping feature roadmaps and performance.