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Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

NVIDIA· Engineer, Sys SW
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Hybrid (Santa Clara, CA), Hybrid (Remote)$184k - $356.5kFull-timePosted 2mo ago

About the role

Senior role in NVIDIA’s Analytics and Data Intelligence group building libcudf and accelerating GPU-based data processing with C++ and CUDA. Focus on open-source libraries, multi-node performance, and GPU-accelerated data processing for diverse domains.

Responsibilities

  • 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

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

Skills

Required:Modern C++CUDAGPU-accelerated data processing
Nice to have:UCX / NCCL

Benefits

  • Equity
  • Generous benefits package (see company benefits page)
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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